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This position is in the Product and Process Systems Engineering Group. The investigators are members of the Centre for Process Systems Engineering (CPSE), a joint centre between Imperial College London and University College London.

The remit of this role is within the £1.5M EPSRC project “Hydrogen Infrastructure Uncertainty Management for Heat Decarbonisation (HUMAN)”. The project considers tactical and operational decisions related to the deployment of a hydrogen-led system and its interaction with the power grid across spatial and temporal scales. Employing the tools developed within the project the optimal mix of electrification and hydrogen-based decarbonisation of heat will be explored for different regions in the UK.

Key responsibilities include:
•To develop and implement novel methods for multi-stage optimisation under uncertainty.
•To develop and implement machine learning approaches for quantifying and incorporating uncertainty considerations in optimisation problems.
•To develop and implement decomposition/iterative techniques for the solution of large-scale energy systems models.
•To plan and execute real options analysis of hydrogen supply infrastructure to account for and manage risk under different scenarios (including use of hydrogen only for transport, or use if for both transport and heat).
•Plan and prepare papers from own and related research to appropriate peer reviewed journals, international conferences and research seminars.
•Collaborate with other PDRAs and PhD student team members for exchange of knowledge, best practice, as well as to carry out coordinated pieces of research.
•Further information can be found at the Job Description document.

Duration of the role is for 24 months in the first instance.
Key Requirements
The successful candidate must have a PhD in Engineering, Operations Research or Computer Science with advanced understanding of supply chain optimisation and optimisation under uncertainty is required. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post.

Proven publications track record in developing novel techniques for optimisation under uncertainty and/or the efficient solution of stochastic/robust optimisation programs. Experience in machine learning for uncertainty quantification and modelling. Experience with energy systems models (e.g. UK TIMES) and complex energy datasets. Proficiency with optimisation packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia) and maintaining online repositories (e.g. GitLab/GitHub). Candidates must have excellent communication and team-working skills, the ability to write high-standard reports and work collaboratively with colleagues to generate high-quality research outputs.

Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment Please note: appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,542 - £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Further Details
A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the ‘Apply Now’ button below.

If you have any queries regarding the vacancy or the application process, please contact Dr. Vasileios Charitopoulos at v.charitopoulos@ucl.ac.uk or Prof. Lazaros Papageorgiou at l.papageorgiou@ucl.ac.uk.

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The group of Management Informatics of the Universidad de Talca, Chile, is looking for talented (postdoctoral) researchers in the field of (robust/stochastic) mixed-integer programming (and its applications). Selected candidates are expected to contribute to the design and implementation of novel (exact and heuristic) solution methods to solve robust/stochastic mixed-integer programming problems (e.g., network design, scheduling, routing) emerging from different application areas (supply chain management, power systems engineering, healthcare management, natural resources management, among others).

We are looking for candidates with experience and interest in:
Coding and implementing exact and heuristic algorithms for solving (mixed-integer programming) optimization problems in C++.
Presenting and writing up academic papers.
Some experience with GIS is a plus.
This is a two-year position (with a possible extension to up to three additional years) and selected applicants are expected to join the group starting from March 2021 (although the start date can be negotiated within a relatively flexible time frame). A yearly budget for travel expenses, conference registration fees and other expenditures is also considered.

If you are interested and/or want more information about the position and application process, please contact Eduardo Álvarez-Miranda at ealvarez@utalca.cl and eduardo.alvmir@gmail.com

Eduardo Álvarez-Miranda

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The Department of Civil and Computer Science Engineering of Tor
Vergata University of Rome invites candidates to express their
interests for 1 full-time RTD-B Assistant Professor position
(Tenure-track) in Operations Research. The RTD-B Assistant Professor
position can be converted after three years into an Associate
Professor position if the national qualification (ASN) at the
Associate Professor level is obtained in the Academic Discipline
"Operations Research" (MAT/09) of the Italian University System.

Profile
Candidates will hold a PhD in an area close to OR, three years of
research experience after PhD, and an appropriate record of
publications in highly ranked international journals and conferences.
Teaching experience is also positively considered.

Position
Successful candidates will be able to pursue their own research
activities as well as to join ongoing research projects in the area of
Operations Research, will supervise Master Thesis and PhD students in
their fields, will teach in the Master degree in Computer Science
Engineering at Tor Vergata University of Rome, will be involved in
collaborations with industry and public bodies (if they like).
Appointments are full-time. The salary is competitive. We especially
welcome expression of interests from female scholars.

Expression of Interest
People who are interested in this position should send their CV to
oriolo@disp.uniroma2.it preferably by March 7th 2021. Please be aware
that bureaucracy is an issue in Italy and that there will be further
more formal steps to be taken after the expression of interest. Apart
from bureaucracy and a few other issues, Italy is not that bad :-)

Gianpaolo Oriolo: oriolo@disp.uniroma2.it

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The Department of Statistics at Universidad Carlos III de Madrid (UC3M) invites applications for up to two full-time tenure-track Assistant Professor positions, starting in September 1, 2021.
Job requirements include:
• An excellent track record of research experience in any of the areas of the Department (Econometrics, Operations Research, Probability and Statistics), reflected in high-quality internationally refereed publications.
• A PhD in related fields by the expected start date.
• Demonstrated high-quality teaching experience and/or proven didactic skills.
• Excellent proficiency in English (written and verbal, as faculty are expected to
teach courses in English, both at the undergraduate and graduate levels). Conditions of employment include:
• A contract subject to internal evaluations, with the prospect of becoming a tenured Associate Professor (Profesor Titular), subject to Spanish and University regulations.
• The salary corresponds to that of an Associate Professor in Spanish public universities.
UC3M (see www.uc3m.es/Home) is a high-ranking young (founded in 1989) research- oriented public Spanish university. The Department of Statistics (see www.uc3m.es/statistics), which has about 35 full-time faculty members with a broad variety of research interests, mostly within Statistics, but also in Econometrics and in Operations Research, is committed to excellent standards in teaching and research. The Department is in charge of teaching Statistics related courses in most undergraduate degrees offered by UC3M, spanning the Schools of Engineering, Social Sciences, and Humanities. The Department is involved as well in a number of postgraduate programs, especially the Master in Statistics for Data Science and the Master in Big Data Analytics, and in a PhD program. A large share of courses are taught in English.!
Foreign applicants must have valid documentation to work in Spain before starting. By the deadline of February 28, 2021, applicants should send the following by email
to departamento.estadistica@uc3m.es (to which queries can also be addressed):
• A cover letter including statements of research and teaching interests and goals.
• A curriculum vitae.
• At least two letters of reference, to be sent by letter writers to the above address.
The Department will invite short-listed candidates for an interview and to present a research seminar, both possibly online.

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Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 35 million active customers.

We are team PRT and we recommend discounts for the whole Zalando shop, striving to create the best customer experience and outstanding financial growth of the company. Such power comes with a big responsibility, and we are always looking for innovative ways to improve the way we price, make our processes smoother and deliver solutions at a high speed. We employ methods from Operations Research and use Machine Learning models to provide data-driven and robust approaches, and to do so we always need to experiment and discover new solutions. This is where you can help us!

We are a very creative team, which is producing a huge number of ideas and we need more people to explore them. We are looking for a person with a researcher mindset and solid Computer Science background, who will help us to evaluate, explore and potentially productionize these ideas in our pricing products. You can expect to do a lot of prototyping with real data, doing presentations inside and outside the team and even to contribute to our production systems. We are committed to helping you grow as an Applied Scientist in the areas of Optimization, Data Analysis and Software Engineering, and you have a chance to work with a high impact applied research-oriented team.
You will be able to learn a lot of things that constitute the toolbox of modern Data Scientists. Just a few buzzwords:
Python, Spark
Jupyter, pandas, numpy, matplotlib
Databricks
AWS, S3, Athena
Internship duration: 3-6 months

More details in the link.
Please mention "PRT team" in the "How did you hear about this job?"

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The Deutsche Post Chair - Optimization of Distribution Networks (DPO) at RWTH Aachen University is recruiting a research associate on either PhD or postdoctoral level at the earliest possible date.
Teaching and research at DPO is devoted to the development of heuristic and exact algorithms for the solution and analysis of planning problems in logistics, especially in transportation, network design, location planning, and warehouse management.

We offer exciting and challenging teaching and research activities (also in the context of industry collaborations), in an open atmosphere with a young and highly motivated team.
The initial contract is for 3 years with the option to be extended.
This is a full-time position. The salary is based on the German public service salary scale (TV-L).
The successful candidate has the opportunity to pursue a doctoral degree (or a habilitation for postdocs).

Further details on the position and on the application process can be found here: https://www.dpo.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaaxaeswq
For questions, please contact Prof. Dr. Michael Schneider (schneider@dpo.rwth-aachen.de).

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A PhD position is available in the newly created "Discrete Optimization" group at TU Berlin (www.tu-berlin.de/?215588) with ties to the "Combinatorial Optimization and Graph Algorithms" group (www.tu-berlin.de/?69757). The successful applicant will participate in the Math+ research project ?Information Design for Bayesian Networks? that is concerned with information design and mechanism design approaches for congestion games with applications to urban traffic modeling and improvement.

Candidates should have an excellent academic degree in mathematics, computer science or a related area, and must have very good knowledge in discrete mathematics and/or algorithm theory. Basic knowledge of probabilities and/or game theory is helpful. Good communication skills and solid English writing skills are expected. Profound knowledge of optimization and related areas are desirable. Teaching experience (e.g., as a student assistant) is of advantage.

Besides its many cultural attractions, Berlin offers a strong scientific landscape including three major universities, the DFG funded mathematics research center MATH+ ([https://mathplus.de) as well as the internation graduate program Berlin Mathematical School ([http://www.math-berlin.de); these offer opportunities for joint research and support for PhD students (e.g., meetings, lecture series, international summer schools etc.).

Instructions on how to apply can be found at: https://stellenticket.de/88867/TUB/?lang=en
Please mention the reference number 76/21 in your application.

The application deadline is: February 26, 2021. Informal inquires about the position can be directed at any time to klimm@tu-berlin.de Please also send a mail if you would like to apply but have difficulties in meeting the application deadline or are still missing your final exam but expect to obtain it soon.

Prof. Dr. Max Klimm
Discrete Optimization
Institute of Mathematics
TU Berlin
Stra?e des 17. Juni 136
10623 Berlin
Germany

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Under the project “Sustainable Transport Under Pandemic Context”, University of Littoral has an immediate position for a postdoc researcher to work on MATsim. The project is related to transport modeling in the North of France with a focus on the improvement of calibration techniques and the implementation of epidemiological model.

The position is for a period of 12 months with a net salary about 2,200 € per month. We are seeking a candidate who is familiar with agent-based traffic modelling, who have and experience with MATsim (or similar simulators).

The selection will be based on the main criteria:
- technical skills in transport modeling,
- data gathering and processing (databases)
- model calibration
- output analysis and experience with MATsim (or similar tools)
- motivation to work on transport modeling
- familiarities with Java/Eclipse environment
- ability to process XML files

Other criteria that will be considered:

- skills in the manipulation of geographical information systems
- big data and statistical analysis
- knowledge of epidemiological models
- experience with mathematical optimisation methods
For more information please contact Prof Moez KILANI > or Prof Daniel DE WOLF >.

Best regards,

Daniel De Wolf
Professeur de gestion

Université du Littoral Côte d'Opale & TVES (ULR 4477)
189B avenue Maurice Schumann
BP 5526
59379 DUNKERQUE Cedex 1

Responsable du Master EGEDD
Responsable de la convention d’échange avec l’UCLouvain

Page personnelle : http://www-heb.univ-littoral.fr/dewolf/
Site du Master EGEDD : http://master-egedd.univ-littoral.fr/

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POSTDOC/SENIOR RESEARCHER POSITION IN ALGORITHMS/OPTIMIZATION RESEARCH
AT HAMBURG UNIVERSITY OF TECHNOLOGY (TUHH)

The Institute for Algorithms and Complexity at TUHH: Hamburg University
of Technology (www.algo.tuhh.de) in Hamburg, Germany invites
applications for one 5-year position at the rank of Postdoc/Senior
Researcher. The focus of this position is research in the general area
of algorithms and combinatorial optimization with applications in the
natural sciences. The position is attached to "DASHH ? Data Science in
Hamburg ? Helmholtz Graduate School for the Structure of Matter"
(https://www.dashh.org/) and offers exciting opportunities to work on
big data obtained at Germany's largest particle accelerator (DESY, XFEL).

The position is within the Institute for Algorithms and Complexity,
whose research covers a broad spectrum of algorithmic research; this
includes big data algorithms, foundations of data science, combinatorial
optimization, approximation and parameterized algorithms, and
applications in operations research and discrete mathematics. The
Institute for Algorithms and Complexity at TU Hamburg currently hosts
several international researchers, so English is used on a daily basis
as a working language.

The institute is located in the newly built Hamburg Innovation Port
(http://channel-hamburg.de/bueroflaechen/hamburg-innovation-port/),
which is located right at the Harburg harbour with great views of the
harbour and Hamburg's famous opera house (Elbphilharmonie). TU Hamburg
offers several attractive benefits, including subsidized public
transport for the Hamburg metropolitan area, a sports centre on campus,
family-friendly working hours, healthy campus initiatives, and more.
Several other institutes of the TU Hamburg, the Helmholtz Center for
Data Science, and the German Air and Space Research Center (DLR) are
located in the area. They are all located in the Free and Hanseatic City
of Hamburg, which is Germany's second largest city, home to a population
of ca. 1.8 million people. It is a famous city of trade and commerce,
with several universities and much research in algorithms.

TU Hamburg offers several attractive benefits, including subsidized
public transport for the Hamburg metropolitan area, a sports centre on
campus, family-friendly working hours, healthy campus initiatives, and more.

A Ph.D. degree and evidence of excellence in research and teaching are
required. Successful applicants are expected to maintain an active
program of research, and to attract and supervise graduate students. The
position comes with mild co-teaching of undergraduates and graduates,
which is generally conducted in English. The salary of the position is
determined according to level TV-L E-14 of German public sector, which
amounts to an annual salary of at least 54,400 Euro. The exact amount of
salary depends on experience, family circumstances, tax classification
and other factors. The position is available with immediate effect.

Interested individuals should apply using the official application
portal of the vacancy
(https://stellenportal.tuhh.de/jobposting/9a773b3f573a137951139834025cfd9f9cfa9b56).
Applications can be submitted in English. Applications received by 11
January 2021 will receive full consideration. Applications should
include a curriculum vitae, research and teaching statements, and a
publication list. Any questions regarding the position should be
directed to Matthias Mnich (matthias.mnich@tuhh.de).

Hamburg University of Technology regards diversity as an integral part
of academic excellence and is committed to employment equity and
accessibility for all employees. As such, we encourage applications from
women, persons with disabilities, members of diverse gender identities,
and others who may contribute to the further diversification of ideas.
In Hamburg, you will have the opportunity to work across disciplines and
collaborate with an international community of scholars and a diverse
student body.

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PhD position on the intersection of combinatorial optimisation and machine learning to deliver novel trustworthy, safe, and explainable machine learning algorithms.

Job description
Challenge: Safe, explainable, and trustable machine learning
Change: Replace machine learning heuristics with rigorous and verifiable optimisation methods
Impact: Machine learning algorithms that can trusted with important decision-making in society

We are seeking a highly motivated candidate to work on the intersection of combinatorial optimisation and machine learning to deliver novel trustworthy, safe, and explainable learning algorithms. Machine learning has seen tremendous progress in the past decades. When deploying in practice, however, guaranteeing that machine learning algorithms can be trusted to maximise the desired utility is still a challenging problem. For example, we must ensure the algorithms do not implicitly discriminate based on race or gender, but this unfortunately is not readily available with conventional methods. The PhD student will contribute towards trustworthy machine learning by developing innovative techniques based on ideas typically associated with the field of combinatorial optimisation or other approaches proposed by the candidate. The resulting algorithms are foreseen to be applied to a variety of application domains, e.g., bioinformatics, automated controller design, and data-driven policy making.

Responsibilities:

Perform scientific research in the area of combinatorial optimisation and machine learning

Implement and evaluate research prototypes

Write and publish scientific reports at international venues, e.g., conferences and journals

Present results at international conferences

Collaborate with domain experts

Participate in activities of the research group

The PhD student will be supervised by Dr Emir Demirović and Dr Mathijs de Weerdt from the Algorithmics research group at TU Delft.

Requirements
Key requirements:

MSc degree in Computer Science, Artificial Intelligence, Mathematics, or a closely related field

Excellent algorithmic and programming skills

Excellent command of English, both written and spoken

Excellent interpersonal skills and teamwork spirit



Desirable skills:

Knowledge of statistics or machine learning

Knowledge of combinatorial optimisation, e.g., operations research, constraint programming, Satisfiability solving, discrete mathematics

Programming in C/C++

Conditions of employment
TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

The PhD student will an employee of TU Delft and will accordingly receive social security, e.g., health insurance, contribute to pensions funds, paid leave, etc.

Non-EU citizens are welcome to apply and TU Delft will arrange necessary work permits.

TU Delft is committed to diversity and inclusion in its work place and invites individuals to apply regardless of their age, race, ethnicity, culture, gender, nationality, sexual orientation, physical ability, and background.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information
For more information about this vacancy and the selection procedure, please contact Dr Emir Demirović, Assistant Professor, email: e.demirovic@tudelft.nl.

Application procedure
Interested candidates are invited to send the following documents:

CV

Transcript of grades along with a description of the scores

Master thesis (or draft if not yet submited)

Summary of other scientific works (if applicable)

Motivation letter (explaining your interest in the position, why are you a good candidate for the job, and possibly your career goals)

A pre-employment screening can be part of the application procedure.

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The Operations Research (OR) Department at the Naval Postgraduate School (NPS) seeks applicants for three open-rank tenure-track positions in the following areas:

• Statistics and Data Science, which includes applied statistics, machine learning, data mining, experimental design and analysis, and defense systems modeling.
• Computation and Data Science, which includes computational methods, data science, and systems modeling.
• Applied OR, which includes (but is not limited to) applications in data science, military modeling, logistics, infrastructure, energy, environment, defense, homeland security, and cyber.

We will begin reviewing applications on October 1, 2020 and will continue to accept applications through December 1, 2020. For more details about the NPS OR department, as well as qualifications and the application process, please see the official job postings at https://www.nps.edu/web/or/hiring .

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We are seeking candidates in the area of combinatorics to nominate for a Postdoctoral Fellowship from the Pacific Institute for the Mathematical Sciences (PIMS) to be held at the University of Victoria. If the nomination is successful, then the salary will be at least $50,000 CAD funded jointly by PIMS and the research grants of the supervisors, Dr. Natasha Morrison and Dr. Jonathan Noel. The Fellowship is for one year and is renewable, contingent on satisfactory progress, for an additional year. The starting date is July 1, 2021 or later. Applications should be made through mathjobs at this link (www.mathjobs.org/jobs/list/16369) before November 20, 2020. Informal inquiries can be made by e-mail to Nathasha Morrison (nmorrison@uvic.ca) and Jonathan Noel (noelj@uvic.ca).

The University of Victoria has a thriving Discrete Mathematics Group​ with 6 research faculty, 2 teaching faculty, 2 adjunct faculty, an enthusiastic cohort of graduate students and a weekly seminar.​ We strongly value the experiences and qualities that people from diverse backgrounds bring to the group and, as such, we particularly encourage applications from members of groups which are under-represented in mathematics.

More info:
Apply here: www.mathjobs.org/jobs/list/16369
PIMS Postdoctoral Fellowships: www.pims.math.ca/scientific/postdoctoral
Natasha Morrison: www.math.uvic.ca/~nmorrison/
Jonathan Noel: www.math.uvic.ca/~noelj/
UVic Math and Stats Department: www.uvic.ca/science/math-statistics/index.php
UVic Discrete Math Group: www.uvic.ca/science/math-statistics/research/home/discrete-math/index.php

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The Institute of Algorithms and Complexity at TUHH: Hamburg University
of Technology ([http://]www.algo.tuhh.de ) in Hamburg, Germany
offers an exciting opportunity to work in a PhD program at the forefront
of algorithms and computer sciences.

The position is on algorithms/scheduling and offers the chance to
develop new algorithmic approaches to scheduling applications. The new
algorithms will build on advanced methods from combinatorial
optimization, mathematical programming, (mixed-)integer programming,
approximation algorithms and fixed-parameter tractability. For a first
glimpse, we refer to the survey on parameterized algorithms for
scheduling problems (https://arxiv.org/pdf/1709.01670.pdf
).

The position is fully-paid and offered with an employment contract for 3
years. It comes with social security and generous travel money. We
provide close supervision and support by a panel of established
professors and scientists. Transferable skills and career development
are an integral part of the program.

The position is within Institute for Algorithms and Complexity
([http://]www.algo.tuhh.de ), whose research covers a
broad spectrum of algorithmic research; this includes big data
algorithms, foundations of data science, combinatorial optimization,
approximation and parameterized algorithms, and applications in
operations research and discrete mathematics. The institute hosts
several international researchers, so English is used on a daily basis
as a working language.

The institute is located in the newly built Hamburg Innovation Port
([http://]www.hamburg-innovation-port.com/wp-content/uploads/2018/09/01-HIPtuhhlogowasser_web.jpg
),
which is located right at the Harburg harbour with great views of the
harbour and Hamburg's famous opera house (Elbphilharmonie). Several
other institutes of the TU Hamburg are located in the area, as well as
DASHH - Data Science in Hamburg, the Helmholtz Graduate School for the
Structure of Matter, and the German Air and Space Research Center (DLR).
They are all located in the Free and Hanseatic City of Hamburg, which is
Germany's second largest city, home to a population of about 1.8 million
people. It is a famous city of entertainment, trade and commerce, with
several universities and much research in algorithms.

TU Hamburg offers several attractive benefits, including subsidized
public transport for the Hamburg metropolitan area, a sports centre on
campus, family-friendly working hours, healthy campus initiatives, and more.

An excellent Master degree in Computer Science, (Applied) Mathematics,
Operations Research, Engineering or related field is required. Affinity
with optimization, algorithms, complexity theory, or discrete
mathematics is preferred. The salary of the position is determined
according to level TV-L E-13 of the German public sector. The exact
amount of salary depends on experience, family circumstances, tax
classification and other factors. Travel funding is available, for
attending conferences and workshops, and visiting other researchers.

Interested individuals should apply using the official application
portal of the vacancy:
https://stellenportal.tuhh.de/en/jobposting/4ee4c6fd187866f973b5acd72a1f5ad9a5368f4d0/apply
.
Applications should be submitted in English. Applications received by 18
November 2020 will receive full consideration. Applications should
include a curriculum vitae, a letter of motivation, names and a detailed
list of university courses with grades. If the candidate wishes, he or
she may provide contact information of one or two letter writters who
are acquainted with the applicant's previous academic activity. Any
questions regarding the position should be directed to Matthias Mnich
(matthias.mnich@tuhh.de ).

Hamburg University of Technology regards diversity as an integral part
of academic excellence and is committed to employment equity and
accessibility for all employees. As such, we encourage applications from
women, persons with disabilities, members of diverse gender identities,
and others who may contribute to the further diversification of ideas.
In Hamburg, you will have the opportunity to work across disciplines and
collaborate with an international community of scholars and a diverse
student body.

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Imperial College London invites applications for PhD candidates that are excited to shape the next generation of mobility systems and shed light on their societal impact. Towards this goal, you will be working under the supervision of Dr Dario Paccagnan, develop and analyze theoretically-sound tools/models/algorithms.

Autonomous Mobility on Demand - a mode of transportation wherein fleets of self-driving vehicles transport passengers on demand within a city - is forecasted to revolutionize the way we move. Yet its impact on our society is not fully understood. For example, how will autonomous vehicles integrate with the existing public transportation infrastructure? Will competition between multiple operators worsen the congestion?

You will have the opportunity to tackle these questions (and many more) in a principled way, and at the same time develop novel tools and algorithms to shape the future of intelligent transportations systems. As the interests of different parties are involved (e.g., traffic authority, municipalities, systems’ operators), you will exploit models and tools in game theory, optimization, control theory.

To apply for this position, we are looking for outstanding PhD candidates with a strong mathematical / computer science background. Familiarity with any of the following is desirable: convex optimization, algorithms, game theory, control theory.

PHD ad with info on application : https://www.doc.ic.ac.uk/~dpaccagnan/PhD-ad.pdf
PI's webpage: https://www.doc.ic.ac.uk/~dpaccagnan/

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The Department of Chemical Engineering (ChE) and Combinatorics and Optimization (C&O) at the University of Waterloo invites applications from qualified candidates for a one-year postdoctoral fellowship appointment in Process Scheduling and Operations Research under the supervision of professors Ricardo Fukasawa (C&O) and Luis Ricardez-Sandoval (ChE).

The project involves solving optimization problems related to optimal scheduling of operations in an industrial facility. Desired qualifications are solid expertise in discrete optimization, programming languages and mathematical optimization modeling software. In particular, of great interest is experience in features like using callbacks in commercial optimization solvers and writing code for solving optimization problems using standard solvers. A Ph.D. degree and evidence of excellence in research are required. Successful applicants are expected to maintain an active program of research. Applications should include a cover letter describing their interest in the position and the candidate's background in process scheduling and discrete optimization, a curriculum vitae and research statement and at least three reference letters.

The deadline to apply to this position is October 31st, 2020. Late applications will be considered until the position is filled. Interested individuals should send their application to Ricardo Fukasawa (rfukasawa@uwaterloo.ca) and Luis Ricardez-Sandoval (laricard@uwaterloo.ca). The salary for this position will be similar to that offered by the NSERC postdoctoral fellowship program and commensurable with the background and activities to be developed by the applicant.

The University of Waterloo regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. As such, we encourage applications from women, persons with disabilities, Indigenous peoples, members of visible minorities, and others who may contribute to the further diversification of ideas. At Waterloo, you will have the opportunity to work across disciplines and collaborate with an international community of scholars and a diverse student body, situated in a rapidly growing community that has been termed a "hub of innovation."

All qualified candidates are encouraged to apply, however Canadians and permanent residents will be given priority.

Three reasons to apply: https://uwaterloo.ca/faculty-association/why-waterloo.

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AGRIFLEETS: Distributed Route Guidance System for Autonomous Coordination of Agriculture Robot Fleets

The Post-Doc researcher will work in a research team with a PhD student to be contracted within the AGRIFLEETS research project (funded by French National Research Agency - ANR) led by Prof. Marin Lujak (IMT Lille Douai) in close collaboration with Prof. Frederic Semet from the Ecole Centrale de Lille and various renowned national and European academic partners from Italy, Spain, and the UK. The Post-Doc research position is open at the Department of Digital Systems at IMT Lille Douai, University of Lille in France.


Context. The need for sustainable agriculture has led to the recent introduction of Agriculture Mobile Robots (AMRs) and Precision Agriculture (PA) that makes the practice of farming more accurate and efficient. The AMR research so far has focused on a single robot and its agriculture-specific capabilities. Very little work has been done in the domain of distributed, efficient, and scalable real-time agriculture vehicle fleet coordination in general and AMR fleet coordination in particular, considering the overall fleet performance as well as tactical and operational real-time vehicle, implement, raw material, and crop cultivating constraints. This topic is of utmost importance in the case of corporate agriculture where conglomerates with heterogeneous agriculture vehicle fleets operate large lands with precision farming. Fully autonomous farming, with multiple AMRs running and coordinating simultaneously with one another in the same farm, is still an open challenge. Advance!
s in ICT and agriculture technologies allow for a higher level of autonomy of AMR fleets where integrated decision-making potential at present is unrealised. With the objective to increase the opportunity for autonomy in agriculture fleets, in the AGRIFLEETS project, we study dynamic and decentralized coordination of agriculture fleets and develop a distributed route guidance system for autonomous coordination of AMR fleets. The expected outcome of the research will be the development of distributed and scalable algorithms for dynamic and decentralized agriculture fleet vehicle routing and coordination followed by the development of a multi-agent based decentralized vehicle fleet coordination architecture and the integration of the dynamic AMR allocation and routing modules into the architecture and the overall simulation testing.



The work contract should start as soon as possible, preferably in November 2020 and should last for three years with an internationally competitive salary.



Eligibility criteria

The candidate is expected to have a PhD Degree in Computer Science, Industrial Engineering, or a related field with a strong academic background in Combinatorial Optimization and programming (preferably in IBM ILOG Cplex Studio, MATLAB and Java). A good knowledge of written and spoken English are required.



How to apply

If you wish to apply for this Post-Doc researcher work contract, you are kindly asked to send the following in the same order: 1) motivation letter with research interests and goals, 2) CV, 3) three recommendation letters with respective contacts, 4) copies of your diplomas and transcripts, 5) certificates, and 6) three relevant publications in one PDF file at the following e-mail: [ marin dot lujak at imt-lille-douai dot fr ] preferably by October 26th 2020. The applications are considered on a rolling basis.







Best regards,




Marin Lujak

Associate Professor

IMT Lille Douai

http://marinlujak.eu

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Open 2-years Post-Doc position at ESSEC Business School, Paris

ESSEC Business School (Cergy campus) is looking for a Post-Doc candidate who will be working on a development of new data-driven mathematical models and optimization algorithms for challenging applications in sustainable city logistics.

Project Description: We will study innovative strategies for performing sustainable last-mile delivery operations. We propose to exploit existing public transportation services, in particular, during off-the-peak hours, when the vehicles are typically under-utilized. Public transport will cover the first lag of transportation and it will be then combined with green modalities performing the last lag (including droids and drones). This novel integration of public transportation into the city logistics will help to reduce the number of combustion engine vehicles performing last-mile deliveries, which will in turn imply reduced congestion and improving living conditions within urban areas.
Required Skills: The Post-Doc is expected to work independently and to have a doctoral degree in Operations Research, Mathematics, Computer Science or a related discipline.
A strong scientific background in Computational Optimization, Operations Research (decomposition methods, exact and heuristic methods, combinatorial optimization, mixed integer programming, branch-and-cut, branch-and-price) is expected. A good understanding of machine learning tools (e.g, neural networks, SVMs, random forests, classification and clustering methods) is appreciated.

Working conditions at ESSEC: With its 3 campuses (Paris, Singapore and Rabat), ESSEC Business School is a top European Business School with international and very diverse faculty and student communities. The ESSEC Master in Management is ranked #4 worldwide by the Financial Times in 2019. The ESSEC Master in Finance is ranked #5 worldwide in the FT ranking. The ESSEC Master in Data Science & Business Analytics (a joint program with Ecole Centrale Paris) is ranked #3 worldwide in the latest QS 2020 ranking.
The candidate will work under the supervision of OR professors at ESSEC: Laurent Alfandari, Claudia Archetti, Ivana Ljubic.
Annual gross salary: 34K Euros.
Special working conditions can be negotiated, due to the current covid-19 crisis.

Application process: Candidates should send their applications (including a cover letter, a detailed curriculum vitae, a list of publications, and two recommendation letters) to Professor Ivana LJUBIC: ivana.ljubic@essec.edu.

Deadline for applications: September 1, 2020.

Earliest starting date: October 1, 2020

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AVAILABLE POSITIONS FOR PH.D. AND MASTER’S DEGREES
INTERURBAN FREIGHT TRANSPORTATION OPTIMIZATION

Several Ph.D. and M.Sc. positions are currently available within a large research project
aiming at the development of innovative operations research models and tools for the
planning and operation of interurban freight transportation systems. This project is
conducted with the collaboration of an industrial partner with the dual objectives of
advancing methodological knowledge in the area and developing effective management
tools that will be implemented in practice. Most of the research activities will take place
in Montreal, in CIRRELT (Interuniversity Research Centre on Enterprise Networks,
Logistics and Transportation).
Most of the project will focus on combinatorial optimization models and methods,
especially under uncertainty. Part of the project will deal with the development of
demand models, mostly discrete-choice ones, and revenue management methodologies.
Students interested in the application of learning methods, especially machine learning,
to analyse big data or to improve the performance of optimization algorithms, are
strongly encouraged to apply.
Students involved in the project will receive financial support according to the practices
of participating universities.
The research team is strongly committed to the equity, diversity and inclusion principles
put forward by the Natural Science and Engineering Research Council of Canada and the
participating universities. Accordingly, it particularly encourages women, members of
visible and ethnic minorities, aboriginal people, and persons with disabilities to apply.

For more information, please contact:
• Teodor Gabriel Crainic, École des sciences de la gestion, Université du Québec à
Montréal, et CIRRELT (TeodorGabriel.Crainic@cirrelt.net),
• Michel Gendreau, Département de mathématiques et de génie industriel,
Polytechnique Montréal, et CIRRELT (michel.gendreau@cirrelt.net),
• Walter Rei, École des sciences de la gestion, Université du Québec à Montréal, et
CIRRELT (rei.walter@uqam.ca).

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Optit è alla ricerca di giovani talenti per rinforzare il proprio team OR della sede di Bologna (Italia).
Cerchiamo giovani professionisti con conoscenza ed esperienza del dominio della Ricerca Operativa,
ottime capacità analitiche, ma anche e buone capacità relazionali e di lavoro in Team.
Completano il profilo la conoscenza della lingua inglese adeguata ad un uso corrente in ambito
professionale internazionale e la disponibilità a trasferte nazionali ed estere.
Lavorare in Optit significa avere la possibilità di valorizzare le proprie competenze e sviluppare le
proprie abilità, entrando a far parte di un team coeso e motivato dalla passione comune per la
Ricerca Operativa e, più in generale, per la Digital Innovation.
Il forte livello di competenza scientifica offre la possibilità di applicare i contenuti acquisiti
nell’ambito della ricercar accademica, declinandoli in progetti sfidanti per importanti player
nazionali ed internazionali.
Offriamo un contratto di assunzione ed un percorso di crescita professionale interessante e
motivante.
---------------
OPTIT
Nata nel 2007 come spin-off dell’Università di Bologna, OPTIT è presente a Bologna e Cesena, dove
sviluppa progetti integrati di supporto all’ottimizzazione del business del cliente, diventando partner
nel percorso di Digital Innovation.
Integrando specialisti di Operations Research e Data Science, una solida Software Factory ed esperti
consulenti di business, l’azienda sviluppa servizi e soluzioni software di pianificazione,
ottimizzazione, simulazione, forecasting e analytics, nei diversi settori industriali (Logistica & Supply
Chain, Energy, Waste), abilitando performance elevate, standardizzazione e digitalizzazione dei
processi strategici e operativi.
---------------
Maggiori informazioni e candidature:
https://www.optit.net/lavora-con-noi/operations-research-specialist/
jobs@optit.net

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Several postdoctoral positions are currently available within a large research project aiming at the development of innovative operations research models and tools for the planning and operation of interurban freight transportation systems. This project is conducted with the collaboration of an industrial partner with the dual objectives of advancing methodological knowledge in the area and developing effective management tools that will be implemented in practice.

Most of the research activities will take place in Montreal, in CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation).
Most of the project will focus on combinatorial optimization models and methods, especially under uncertainty. Part of the project will deal with the development of demand models, mostly discrete-choice ones, and revenue management methodologies. Postdoctoral researchers interested in the application of learning methods, especially machine learning, to analyse big data or to improve the performance of optimization algorithms, are strongly encouraged to apply.

Postdoctoral researchers involved in the project will receive competitive remuneration, in accordance with the policies of participating universities.
The research team is strongly committed to the equity, diversity and inclusion principles put forward by the Natural Science and Engineering Research Council of Canada and the participating universities. Accordingly, it particularly encourages women, members of visible and ethnic minorities, aboriginal people, and persons with disabilities to apply. Applicants should have obtained their Ph.D. less than five (5) years before starting in the position.

For more information, please contact:
• Teodor Gabriel Crainic, École des sciences de la gestion, Université du Québec à Montréal, et CIRRELT (TeodorGabriel.Crainic@cirrelt.net),
• Michel Gendreau, Département de mathématiques et de génie industriel, Polytechnique Montréal, et CIRRELT (michel.gendreau@cirrelt.net),
• Walter Rei, École des sciences de la gestion, Université du Québec à Montréal, et CIRRELT (rei.walter@uqam.ca).

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WFP seeks candidates of the highest integrity and professionalism who share our humanitarian principles. Selection of staff is made on a competitive basis, and we are committed to promoting diversity and gender balance

Job Title: Full Stack Developer Consultant
Type of Contract: When Actually Employed (WAE) Consultancy
Division: SCOO – Supply Chain Planning
Duty Station (City, Country): Rome, Italy (working remotely from PPR)
Duration: 6 months


BACKGROUND AND PURPOSE OF THE ASSIGNMENT:


The World Food Programme (WFP) is the United Nations frontline humanitarian agency addressing hunger and malnutrition worldwide. WFP tackles poverty and hunger through a range of interventions: saving lives and protecting livelihoods in emergencies; investing in the prevention and mitigation of disasters; restoring and rebuilding lives and livelihoods in post-conflict or post-disaster situation; and other interventions to tackle hunger. Each year, on average, WFP feeds more than 90 million people in over 80 countries.

With a strong focus on end-to-end planning, visibility, and optimization, the Supply Chain Planning & Optimization unit (SCOO) works intensively with colleagues in the field, regional bureaux, and HQ to make sure everyone has a holistic view of each operation, from Logistics to Resource Management and from Nutrition to Donor Relations. Once everyone agrees on what is going on, analytical tools are deployed to anticipate issues down the line, and support COs to develop Supply Chain plans and what-if scenarios to address them. Through this pro-active approach, COs can make more integrated, evidence-based decisions that improve the overall efficiency and effectiveness of our operations.

WFP has been developing an optimization approach that considers the end-to-end supply chain, covering food basket design, transfer modality selection, and sourcing & delivery planning. The process brings together stakeholders from key functions to plan beneficiary needs and lay out supply chain options under various resource scenarios. The output is a sourcing & delivery plan that drives the implementation of WFP’s programmes. In order to facilitate this process, the Planning unit has been developing optimization tools. These advanced decision support tools assist WFP decision makers to maximize beneficiary outcomes while minimizing all costs related to delivering the food assistance through in-kind food or cash-based transfers. The Planning unit is now in the process of mainstreaming and automating several of these tools, and seeks the skills of a full stack developer to maintain and further improve the web application where they are hosted.


ACCOUNTABILITIES/RESPONSIBILITIES:

The developer will support existing optimization initiatives, in particular the award-winning Optimus tool, and support their global scale-up. Specific responsibilities include but are not limited to:

Support the overall development and application of optimization tools and methodologies;
Take the lead on the development (back-end and front-end) of Optimus, an optimization tool supporting operational design for WFP operations that is being rolled out globally.
Develop new front-end components (React.js);
Develop REST APIs to facilitate data exchange between front-end, back-end, and WFP’s data management platform (Palantir Foundry);
Maintain, upgrade and develop new features in the back-end (Django/Python);
Maintain and upgrade servers, databases and deployment procedures;
Support the migration of the application to Amazon Web Services;
Develop an automated testing suite to improve error handling and ensure a robust development environment;
Develop enhancements and fine-tune the tools/methodology to align with business needs;
Support end-users on potential unexpected behaviours of the application, by investigating, fixing, and upgrading the tool whenever needed;
Work closely with Subject Matter Experts in SCOO team to define new requirements and translating them into functionalities for the different optimization initiatives;
Work closely with WFP’s Technology department to ensure compliance with corporate standards around the development of software (e.g. UI design, hosting, authentication, etc.);
Support progress against project milestones to help ensure timely completion of project deliverables;
Recommend system and/or process enhancements to further improve the performance and/or scalability of planning tools;
Support conceptual and quantitative analyses of prioritized supply chain improvement projects;
Work closely with the various WFP business units at both headquarters and field level.



QUALIFICATIONS & EXPERIENCE REQUIRED:

Education:
Master’s Degree or equivalent in Computer Science

Experience:
At least three years of working experience related to the development and maintenance of web applications is required;
Prior experience in UX and front-end design is required;
Prior experience in Supply Chain related industry including business analysis, process mapping, data extraction and analysis, and development of SC optimization tools within global organizations is strongly preferred;
Prior experience working with governments, UN agencies, and/or NGOs is preferred.

Knowledge & Skills:
Strong and proven coding proficiency, covering at least the following languages and frameworks: Python, Django, REST-API, JS, HTML, CSS, React.js, Celery, Git, PostgreSQL, and AWS;
Fast learner who can quickly understand, master and improve the code of complex analytical tools;
Can handle multiple parallel requests from end-users and SMEs, manage their expectations and support them in their daily work with the tools;
Can easily translate functional needs into code and can think outside of the box to find creative solutions to solve complex problems;
Balance complexity and idealism with pragmatism;
Good interpersonal and communication skills, with the ability to perform in a multi-functional and multi-cultural team;
Strong time management skills with the ability to plan ahead and anticipate requirements, problems, and obstacles;
Focus and commitment to generate content on short notice, while maintaining a healthy work-life balance;
Committed and motivated to achieve the objectives of WFP.

Languages:
Verbal and written fluency in English is required.

Terms and Conditions
WFP offers a competitive compensation package which will be determined by the contract type and selected candidate’s qualifications and experience.
Please visit the following websites for detailed information on working with WFP.
http://www.wfp.org Click on: “Our work” and “Countries” to learn more about WFP’s operations.

Deadline for applications: 28 July 2020
Ref.: VA No. 123064


Qualified female applicants and qualified applicants from developing countries are especially encouraged to apply. WFP has zero tolerance for discrimination and does not discriminate on the basis of HIV/AIDS status.

No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service.

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N.1 posto per:
Settore concorsuale 01/A6 – Ricerca operativa
Profilo SSD MAT/09 – Ricerca operativa
Dipartimento di Matematica "F. Casorati"

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DTU Management—Department of Technology, Management and Economics—at DTU is looking for an outstanding Professor in Operations Research. The position as professor is a permanent faculty position. The professor will be part of the research group in Operations Research, and will contribute to research and teaching in the theoretical foundation as well as applications to practical problem solving. The Department already has a strong and internationally recognized environment in Operations Research.

DTU Management conducts excellent research in the intersection between management, technology and economics—in close cooperation with companies and public authorities.

Operations Research (OR) is the discipline of applying advanced analytical methods to ensure better decision-making. By using techniques such as mathematical modelling to analyse complex situations, OR delivers executives the power to make more effective decisions and build more productive systems. OR is an essential part of the data science and analytics agenda.

Responsibilities and tasks
The applicant should conduct excellent research in Operations Research at the highest international level, incorporating methodology as well as applications. The key responsibilities are:
Leadership in research, aiming at strengthening the department’s profile and international visibility
Teaching and supervision at undergraduate and graduate level
External collaboration with academia, industry, and public organizations
Attracting grants and initiating and securing external funding for new projects
Guidance and supervision of early-career researchers
Furthermore, candidates should have published frequently in international top journals and have an interest in developing of OR within data science and analytics.

The OR research group considers it a strength to combine development of new theory with real-life applications. The section is team-oriented, and the professor is expected to support this through peer activities.

For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years.

Qualifications
The candidate must have the following qualifications:
Scientific production at international level, which has contributed to further development of the area,
Documented experience and quality of teaching and curriculum development
Collaboration with industry and/or public authorities
Experience in establishing and leading successful applications for funding of large research projects
Documented experience in research management, including handling of management assignments in national as well as international projects, research programmes, conferences, etc.
Experience with supervision and guidance of PhD students
The candidate is expected to contribute to the development of the department’s internal and external cooperation.

Assessment
In the assessment of the candidates, consideration will be given to:
Documented experience and quality of teaching and curriculum development
Research impact and experience, funding track record and research vision
Societal impact
Documented innovation activities, including commercialization and collaboration with industry
International impact and experience
Leadership and collaboration
Communication skills
Consideration will also be given to:
Documented experience in applying OR to industry or governmental organizations.
Successful supervision of PhD students
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Further information
Further information may be obtained from Head of Management Science Professor Jesper Larsen, tel.: +45 4525 3385, email: jesla@dtu.dk.

You can read more about DTU Management at www.man.dtu.dk/english.

Application procedure
Please submit your online application no later than 3 July 2020 (23:59 local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link ‘Apply online’, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
Application (cover letter) addressed to the President
CV
A vision for future research
Teaching and research statement, with a focus on the ‘Assessment’ bullet points listed above
Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
List of publications indicating scientific highlights
H-index (Google, Scopus and WoS), and ORCID (see e.g. http://orcid.org/)
Diploma (MSc/PhD)
Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

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The doctoral school is embedded into the well-established doctoral program in mathematics at the University of Klagenfurt. It provides a vivid, friendly, and research-oriented environment. In our research we aim to solve mathematical problems by creating synergies from a multi-perspective view, combining the knowledge of several mathematical sub-disciplines. Further information on the doctoral program and the doc.funds doctoral school can be found here: http://www.math.aau.at/doctoralschool
The University of Klagenfurt is a young and innovative university at the intersection of three cultures. Since its foundation in the year 1970, it has established itself as the leading academic educational institution in the region, and as a hub for the acquisition, exchange, and transfer of knowledge across the entire Alps-Adriatic Region.
Future-oriented degree programmes, outstanding achievements in teaching and research, numerous co-operations at home and abroad, ideal conditions for the advancement of young researchers and a one- of a-kind campus nestled between a Renaissance city and Lake Wörthersee give the university its distinctive character. The global QS World University Ranking Top 50 Under 50 ranks the University of Klagenfurt among the best 150 young – under the age of 50 – universities worldwide.
Around 12.000 students pursue their studies and research on the campus, including around 2,000 from 100 different nations across the globe.
Our offer
The successful candidates will be employed at the Faculty of Technical Sciences, Departments for Mathematics and Statistics. The 9 positions funded by the FWF are 75% (30 hours/week) part-time positions, limited to 3 years (Uni-KV: B1, www.jobs.aau.at/en/faq/), with the possibility of an extension by at most 1 year. The 3 positions funded by the University of Klagenfurt are 75% (30 hours/week) part-time positions, limited to 4 years (Uni-KV: B1, www.jobs.aau.at/en/faq/). Filling the positions funded by the FWF will be prioritized. The monthly gross salary is € 2,196.80, paid 14 times per year, and can be increased to a maximum of € 2,604.30 by taking previous experience into account. The starting date is negotiable, September, 1, 2021 at the latest, preferably October 1, 2020.
Tasks and responsibilities
• Autonomous scientific work including the publication of research articles in one or more of the following fields: discrete optimization, combinatorics, regularization methods, parameter identification, computational stochastics and stochastic control, dynamical systems, Bayesian statistics
• Active participation in the research activities of the doctoral school and at international conferences
• International research stay (fully funded)
The successful candidate is expected to do a PhD within the doctoral program and the doc.funds doctoral school Modeling – Analysis – Optimization at the University of Klagenfurt.

Required qualification
• Master’s degree at a national or international university in mathematics, statistics, or a related field. This requirement must be fulfilled two weeks before the starting date at the latest; the last possible deadline for meeting this requirement is hence August 14, 2021.
• Profound knowledge in one or more of the following fields: discrete optimization, combinatorics, regularization methods, parameter identification, computational stochastics and stochastic control, dynamical systems, Bayesian statistics
• An interest in multi-perspective research combining different mathematical sub-disciplines
• Programming skills (e.g., Python, Matlab, R, SageMath, Maple, Mathematica, C/C++, ...)
• Fluent in English
Desired qualifications
• Ability to work in a team
• High communication and dissemination skills
Every PhD student will have one of our faculty members (of whom 45% are female) as supervisor and they will have a co-supervisor and an international mentor on their side.
The principles of diversity, gender mainstreaming, healthiness, sustainability, and compatibility of family and career build the basis for the achievement of our goals. Hence, all our PhD students will have access to the university’s career development program including a special offer for female students.
It is our declared goal to increase the proportion of women in scientific positions and therefore we encourage qualified women to apply for the position. In case of equivalent qualification, women are accepted preferentially. People with disabilities or chronic diseases who fulfill the requirements are particularly encouraged to apply.
General information for applicants is available on www.aau.at/en/jobs/information. For further information, please contact the coordinator of the doctoral school Univ.-Prof. Dr. Michaela Szölgyenyi (michaela.szoelgyenyi@aau.at).
We welcome applications comprising a curriculum vitae, an abstract of max. 1⁄2 page (including a statement of interest in multi-perspective research combining different mathematical sub-disciplines and a statement indicating which of the research areas of the doctoral school would be preferred for the PhD), list of courses taken so far and grade report, title/topic of Master’s thesis, Master’s thesis if available.
Applications must be submitted online no later than July 2, 2020 via the job portal jobs.aau.at/en/ in the category “Scientific Staff” by pressing the button “Show vacancies”, indicating reference code 324/20 and selecting “Apply for this position”.
In addition a confidential letter of reference by a professor should be sent by the professor to mao.doctoralschool@aau.at. The deadline for the reference letter is: July 2, 2020.

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Project: Finding the ‘new normal’: the power of distinct contacts
The current COVID-19 lockdown measures aimed at limiting total contacts have tremendously high costs for the economy and the population’s mental health. How to live with the virus without a vaccine remains an urgent open question. The objective of this project is to provide novel decision support tools to enable policymakers to evaluate, compare, and suggest new contact limitation measures with the objective of maximizing the number of contacts allowed to stay within a target allowable disease spread. Specifically, this project investigates the hypothesis that the same basic reproduction number R0 is obtainable with more contact moments when one limits the number of different contacts. To this end, the project combines operations research tools with novel epidemiology models that model distinct contacts resulting from interactions in a social network and daily activity patterns. Of particular interest to this project are complex-network approaches that assume people connect through a network, rather than meet randomly.

You will play a crucial role in (1) development and implementation of new fast epidemiology models that are able to evaluate desease spread under different lockdown measures with a focus on the impact of the number of distinct contacts per person and (2) development, implementation and evaluation of optimization techniques for identifying promissing lockdown measures that maximize valuable contact moments while keeping the reproduction number R0 on or below a target level.

Responsibilities and tasks
You will work closely together with associate professor E. van der Hurk and professor D. Pisinger to develop mathematical models that recommend alternative strategies for lockdowns – particularly, ones that aim to preserve as many valuable contact moments between people as possible while keeping the spread of the virus low.

Specifically, you will be responsible for
The design and implementation of mathematical epidemiology models that should be computationally fast (Your role: co-responsible).
Design optimization techniques to explore a wide set of contact limitation policies, fast, and indicate those that maximize valuable connections while keeping the spread of the virus at or below a predefined limit. Both heuristic and exact approaches with a focus on Operations Research and/or Graph Structures could be considered. (Your role: leading).
You will need the ability to work in a small team and work on collaborative coding efforts, while also being able to independently design, implement and investigate new concepts related to the project.

Qualifications
You should have a PhD-degree in applied mathematics, operations research, computer science, mathematical epidemiology modelling, physics, complex networks, or a similar degree with an equivalent academic level.

It is a requirement to be able to demonstrate experience in at least two of the following:
complex networks,
graph theory,
exact methods for optimization,
heuristic methods for optimization
Experience with mathematical epidemiology models is an advantage.

When you have the desire to research theoretical interesting questions that have immediate practical value for dealing with the current COVID-19 crises, you may be just the person we are looking for.

It is essential to have a good command of a programming language (preferable java/C/C++ or similar; or otherwise Python/Julia and similar). Ability to work in a multidisciplinary environment is an advantage. Good command of the English language is essential.

Your application should demonstrate an ability to conduct excellent research and publish in high-end peer reviewed journals. We value high quality research over quantity. It is an advantage if you can document interdisciplinary experience within research.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1.5 years. The position is full-time starting 1 September 2020 or as soon as possible thereafter.

You can read more about career paths at DTU here.

Further information
Further information can be obtained from Associate Professor Evelien van der Hurk, evdh@dtu.dk.

You can read more about Management Science at www.ms.man.dtu.dk.

Application procedure
Please submit your online application no later than 1 July 2020 (23:59 local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
Application (cover letter)
Research Statement (1-2 pages)
CV
Diploma (MSc/PhD)
List of publications
Incomplete applications, and applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.