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Displaying opportunities 1 - 25 of 423 in total
Expires Title Institution Country Link Type
None POSTDOCTORAL RESEARCHER – RAILWAY TRAFFIC MANAGEMENT (18-month position)

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Employer
As a test and applied research centre in the railway sector, the IRT Railenium (http://railenium.eu/fr/) aims to develop, through collaborative innovation, the competitiveness of companies as engines of growth and jobs. Railenium implements innovation partnerships between manufacturers (in the broad sense: infrastructure managers, operators, builders and engineers) and academia to ensure a high-level response to the challenges of the railway sector. Based in the Hauts-de-France region, supported by the State and the railway sector, and acting in synergy with the i-Trans competitiveness cluster on land transport, the IRT is backed by a network of excellence centres and research laboratories.
Through the SmartRaCon consortium, composed with the German Research Centre DLR (leader of the consortium), the Spanish Technology Centre CEIT and the British Company NSL, Railenium is an Associate Member on Innovation Programme (IP) 2 (Advanced Traffic Management and Control Systems) of the Joint Undertaking Shift2Rail.
SmartRaCon is the only partner coming from academia.

Position and assignments
This 18-month position is part of the X2Rail-4 projects and will be held by Railenium for a work with University Gustave Eiffel laboratories. In this project, WP8 deals with real-time railway traffic management in case of perturbation.
Railenium’s contributions concern the proposal of an optimization algorithm to manage traffic on very large networks.

Start : As soon as possible
Annual gross salary : ~ 35 k€/an

Geographic mobility: European

Profile
Knowledge

PhD in operations research, computer science, artificial intelligence, applied mathematics or equivalent
Optimization
Statistical methods
C++ development
Fluent in English
Know-how

Sense of initiative, Autonomy / teamwork
Excellent relationship
Creativity, rigor, organization
Self-training capacity
Synthesis, reactivity
Availability (travel required)
Writing skills
Goals
Work description:

Design and development of optimization algorithms for the solution of the real-time railway traffic management problem on very large networks
Participation in various coordination meetings;
Possible participation to project meetings with all European partners;
Production of deliverables and scientific publications.
Detailed missions:

Design algorithms capable of coordinating the somehow independent optimization of traffic in local areas;
Implement the design algorithms in C++ with interface to CPLEX;
Organize data made available from partners of the project;
Run experiments for assessing the performance of the proposed algorithms;
Analyse the results using statistic tools to establish the best algorithm;
Simulate the results on a railway microscopic simulator (OpenTrack)


Contact persons:
Paola Pellegrini, tel. : +33 (0)3.20.43.84.04, e-mail : paola.pellegrini@univ-eiffel.fr

Joaquin Rodriguez, tel. : +33 (0)3.20.43.83.32, e-mail : joaquin.rodriguez@univ-eiffel.fr

Application procedure :
Via email:

- detailed CV (education, work experience, internships, research projects carried out, publications)

- copy of the most relevant publications

- motivation letter explaining how the candidate's CV fits the position requirements and indicating the possible links of the publications chosen with the job description

- one or more recommendation letters

Université Gustave Eiffel France Go Academia
None 1-year research scientist in the general area of additive manufacturing and data analytics

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General Description
The Department of Industrial Engineering at the University of Louisville is seeking a research scientist for research activities in the general area of additive manufacturing and data analytics. This is a 1-year appointment with extension for another year. This position will be under the immediate supervision of Dr. Li Yang, but will interact extensively with other faculty and staff in the Department of Industrial Engineering and the Additive Manufacturing Institute and Science and Technology (AMIST).
Essential Duties and Responsibilities
This position is expected to collaborate with faculty in the Department of Industrial Engineering and more broadly with other members in AMIST. The Department was one of the first departments at University of Louisville that initiated additive manufacturing research. The AM faculty in the department are involved in the research and development of multiple areas in additive manufacturing including:
1. Integrated design for additive manufacturing
2. Novel structure concepts for additive manufacturing-enabled designs
3. Modeling-based quality characterization of additive manufacturing processes and structures
4. Supply chain and logistics in additive manufacturing
5. Data analytics in additive manufacturing for decision making and optimization
At AMIST, over 25 members including faculty, staff and research students are currently involved in various aspects of additive manufacturing research and development, including process science, new material concepts, structural designs, material characterization, applications in biomedical, energy and aerospace fields, workforce training, and logistics. Members of AMIST are affiliated with multiple departments within Speed School of Engineering as well as in Schools of Dentistry and Medicine.
For this position, some specific responsibilities include:
- Developing/writing research proposals for submission to federal and state agencies, with the opportunity to lead them (e.g., as principal investigator);
- Engaging in research initiative efforts for existing and new research projects, and leading and executing preliminary research projects in related areas;
- Mentoring graduate and undergraduate research students;
- Teaching (in regular/virtual classroom setup) courses related to additive manufacturing principles, process and
structure design considerations, data analytics, and qualification of additive manufacturing processes and materials.
This position is anticipated to exhibit independent research attitude as a senior personnel in the IE department’s AM research cluster.
Minimum Requirements
This position requires a PhD degree in Industrial Engineering, Mechanical Engineering, Materials Science, Computer Science, or a closely related field. Experiences with hands-on experimentation and theoretical modeling/analysis are both required due to the multi-disciplinary nature of this position.
Preferred Qualifications
The preferred candidates should demonstrate extensive research experience in the areas of additive manufacturing, data modeling and design theories, experiences in successful proposal writing and journal publication, and experiences in teaching. The interested applicants are strongly encouraged to communicate with the search committee chair, Dr. Li Yang (li.yang.1@louisville.edu) for additional discussions about the alignment of individual’s research interest and the focus of this position.
Department of Industrial Engineering, University of Louisville • Louisville, KY 40292
P: 502.852.6342 F: 502.852.5633 W: https://engineering.louisville.edu/academics/departments/industrial/

Department of Industrial Engineering, University of Louisville USA Go Academia
None Optimization Model Specialist

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Per progetti nel settore portuale e della logistica intermodale ricerchiamo un Optimization Model Specialist
Principali attività:
- Analisi processi
- Sviluppo o estensione modelli di ottimizzazione e/o algoritmi risolutivi
- Test di modelli di ottimizzazione e/o algoritmi risolutivi

Le candidature possono essere mandate a Dolores Macchi: macchi@circletouch.eu

Circle Italy Go Industry
None PhD Positions on Network Algorithms

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We are looking for two highly motivated and bright PhD students with a
strong expertise and interest in graph and network algorithms in
particular, and in theoretical computer science in general, to join our
team around our project on “Fast Algorithms for a Reactive Network Layer”.

Traditionally and still today, communication networks are operated in a
rather static and conservative manner. This has good reasons:
communication networks constitute a critical infrastructure of our
digital society, and dynamic optimizations always come with risks of
instabilities or even outages. However, it is also known that in principle
a more dynamic network operation can greatly improve the efficiency of
networks: empirical studies show that communication traffic contains
much structure, i.e., it is bursty and skewed. More dynamic network
operations are also useful to support adaptive policy changes, service
relocations, or emerging “self-driving networks". This project is
motivated by the desire to leverage the benefits of more flexible
network operations but without sacrificing the reliability guarantees of
more conservative operations. In fact, we believe that a more adaptive
network operation can even improve the dependability of a network.

We aim to lay the theoretical and algorithmic foundations of more
adaptive networks, using algorithmic tools from dynamic graph
algorithms, approximation algorithms, online algorithms and distributed
algorithms. In addition to our theoretical contributions, we also aim to
show the practical importance of our approaches (possibly in
collaboration with an Internet Service Provider).

The positions are 30h/week and shared by the research groups “Theory and
Applications of Algorithms”, led by Univ.-Prof. Dr. Monika Henzinger,
and “Communication Technologies”, led by Univ.-Prof. Dr. Stefan Schmid.
Both research groups are internationally well-known and received ERC
grants in the past.

For more information, please contact Prof. Henzinger and Prof. Schmid by
email.

The application submission is handled online under
https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/ but
you can also submit your application material by an email addressed to
both professors.

Wien University Austria Go Academia
None Postdoc Position: Discrete Optimization for Machine Learning

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At TU Dresden, the Chair of Machine Learning for Computer Vision invites
applications for a

Postdoc Position: Discrete Optimization for Machine Learning

Salary level: TV-L E14, 100%

Tasks:
- Pursuit of an excellent independent research agenda in the area of
discrete optimization for machine learning
- Blue skies, curiosity-driven research
- Publication of findings in internationally leading conferences and
journals
- Co-supervision of doctoral students
- Acquisition, management and execution of third-party funded research
projects
- Support to teaching.

Requirements:
- University and doctoral degree in mathematics or computer science or a
related discipline
- Excellent research in the area of discrete optimization, certified by
recent publications in highly ranked conferences and journals
- Excellent research agenda in the area of discrete optimization for
machine learning
- Teaching experience
- Very good scientific writing and communication skills in English.
Knowledge of German is not required for this position.

Application documents: CV, list of publications, brief research
statement, degree certificates, transcript of records (preferably as a
single PDF file)

Further information: https://mlcv.inf.tu-dresden.de/positions.html

Contact: mlcv@tu-dresden.de

TU Dresden Germany Go Academia
None Two-year postdoc position

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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

Universidad de Talca Chile Go Academia
None Postdoctoral researcher – Railway Traffic Management (18-month position)

Toggle description

Employer

As a test and applied research centre in the railway sector, the IRT Railenium (http://railenium.eu/fr/) aims to develop, through collaborative innovation, the competitiveness of companies as engines of growth and jobs. Railenium implements innovation partnerships between manufacturers (in the broad sense: infrastructure managers, operators, builders and engineers) and academia to ensure a high-level response to the challenges of the railway sector. Based in the Hauts-de-France region, supported by the State and the railway sector, and acting in synergy with the i-Trans competitiveness cluster on land transport, the IRT is backed by a network of excellence centres and research laboratories.
Through the SmartRaCon consortium, composed with the German Research Centre DLR (leader of the consortium), the Spanish Technology Centre CEIT and the British Company NSL, Railenium is an Associate Member on Innovation Programme (IP) 2 (Advanced Traffic Management and Control Systems) of the Joint Undertaking Shift2Rail.
SmartRaCon is the only partner coming from academia.
Position and assignments

This 18-month position is part of the X2Rail-4 projects and will be held by Railenium for a work with University Gustave Eiffel laboratories. In this project, WP8 deals with real-time railway traffic management in case of perturbation.
Railenium’s contributions concern the proposal of an optimization algorithm to manage traffic on very large networks.
Start : As soon as possible
Annual gross salary : ~ 35 k€/an
Geographic mobility: European
Profile

Knowledge

PhD in operations research, computer science, artificial intelligence, applied mathematics or equivalent
Optimization
Statistical methods
C++ development
Fluent in English
Know-how
Sense of initiative, Autonomy / teamwork
Excellent relationship
Creativity, rigor, organization
Self-training capacity
Synthesis, reactivity
Availability (travel required)
Writing skills
Goals

Work description:
Design and development of optimization algorithms for the solution of the real-time railway traffic management problem on very large networks
Participation in various coordination meetings;
Possible participation to project meetings with all European partners;
Production of deliverables and scientific publications.
Detailed missions:
Design algorithms capable of coordinating the somehow independent optimization of traffic in local areas;
Implement the design algorithms in C++ with interface to CPLEX;
Organize data made available from partners of the project;
Run experiments for assessing the performance of the proposed algorithms;
Analyse the results using statistic tools to establish the best algorithm;
Simulate the results on a railway microscopic simulator (OpenTrack)

Contact persons:
Paola Pellegrini, tel. : +33 (0)3.20.43.84.04, e-mail : paola.pellegrini@univ-eiffel.fr
Joaquin Rodriguez, tel. : +33 (0)3.20.43.83.32, e-mail : joaquin.rodriguez@univ-eiffel.fr
Application procedure :
Via email:
- detailed CV (education, work experience, internships, research projects carried out, publications)
- copy of the most relevant publications
- motivation letter explaining how the candidate's CV fits the position requirements and indicating the possible links of the publications chosen with the job description
- one or more recommendation letters

Paola Pellegrini
Research Director in computer science
Deputy director of COSYS-LEOST laboratory

Image result for logo université gustave eiffel

+33 (0)3 20 43 84 04
20, rue Élisée Reclus
BP 70317 F-59666 Villeneuve d'Ascq Cedex • FRANCE

Université Gustave Eiffel, Lille, Les Hauts de France France Go Academia
None Senior Data Science Consultant (Martech solutions)

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At Kantar Trade Optimisation, we understand large FMCG players like nobody else. We are a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide. Our mission is to partner with our customers to unlock growth through smart investment and ensure that they take the right steps to drive more sales, optimizing their promotional plans.

To continue making data accessible and help our clients make strategic business decisions, we are seeking a Senior Data Science Consultant to join our data-lovers team in Bologna or Milan. In this role, you will have to identify and apply advanced analytics techniques in a big data paradigm, drive the integration in our Martech solutions (aka Sales Performance Platform), and assist global FMCG companies in making smarter business decisions.

Your mission will be to find patterns within data, leveraging various statistical techniques to analyze and draw insights from the data with the ultimate goal to transform the way our clients derive value from its data assets. From data extraction, wrangling and pre-processing, you will scrutinize the data thoroughly and make predictions from them. Furthermore, you will design and implement new predictive analytical solutions applying a range of different methodologies and best-in-class technologies.

Kantar Italy Go Industry
None PhD scholarship in operations research

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PhD scholarship in operations research under the supervision of Dominique Feillet, Maxime Ogier and Frédéric Semet
at INRIA Lille / Centrale Lille (France) for a period of 3 years.

Ph.D. Title: Batching and picker routing problems in warehouses taking into account human factors

Short description:

This Ph.D. thesis deals with the modeling and solving of batching and routing problems in warehouses taking into account human factors. Usually, the objective of these problems is to minimize the total traveled distance, and the constraints consist in satisfying customer orders. However, pickers have to face a variety of difficulties during their working days such as painful picking operations and congestion in aisles. The objectives of this thesis aims to propose mathematical models that describe batching and routing problems integrating human factors, and develop efficient solving.

More information can be obtained from : https://team.inria.fr/inocs/job-offers/

or contact : dominique.feillet@emse.fr / frederic.semet@centralelille.fr

Requirements:

Applicants must have a Master Degree (or equivalent) in Computer Sciences, Applied Mathematics, or any related discipline. Applicants should demonstrate good programming skills and a deep knowledge in combinatorial optimization and integer programming.

Best regards,
Dominique Feillet, Maxime Ogier, Frédéric Semet.

INRIA, Lille France Go Academia
None Multiple positions in Mathematical Programming at Huawei's Munich Research Center

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The Huawei Cloud Business Unit at the Munich Research Center is looking for a Team Lead and multiple (Senior) Researcher positions in Mathematical Programming.

Main Responsibilities

- Research, design, implement, and improve a highly-efficient general-purpose optimization solver for Linear Programming, Mixed Integer Programming, and Constraint Programming problems
- Convert customer demands into solver features end-to-end, including definition, implementation, testing, and documentation
- Code reviews, presentations (internal and public)

Requirements

- M.S. or Ph.D. in operational research, mathematics, computer science, or similar technical field
- In-depth understanding of optimization algorithms for linear programming and mixed integer programming. Extensive experience in implementation of these algorithms
- Experience in algorithm design and implementation in C/C++
- Good knowledge of Python and Java is a plus
- Experience in concurrent/distributed/parallel computing is a plus
- Direct experience of using commercial or open-source optimization solvers, such as SCIP, CPLEX, GUROBI and CBC is a plus
- Experience in industry problem solving is a plus
- Working experience in major commercial optimization programming solver companies is highly preferred
- Major contributors or project leaders of open-source optimization solvers like SCIP, CBC are highly preferred
- Major contributors or project leader of high performance mathematical software, numerical linear algebra package (commercial or open-source) are preferred
- Fluent in written and spoken English

The official job posting and application link can be found at: https://apply.workable.com/huawei-16/j/7786DFD797/

Feel free to contact me directly for (informal) inquiries at victor.m.alvarez@huawei.com.

Huawei Cloud Business Unit, Munich Research Center Germany Go Industry
None Senior Data Engineer

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At Kantar Trade Optimisation, we understand large FMCG players like nobody else. We are a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide. Our mission is to partner with our customers to unlock growth through smart investment and ensure that they take the right steps to drive more sales, optimizing their promotional plans.

To continue making data accessible and help our clients make strategic business decisions, we are seeking a Senior Data Engineer to join our data-lovers team in Bologna or Milan.

In this role, you will be handling the design and construction of scalable data management systems, ensure that all data systems meet company requirements, and research new uses for data acquisition. You will have to identify and apply advanced analytics techniques in a big data paradigm and drive the integration in our Kantar data science product portfolio. Furthermore, you will be dealing with a variety of global FMCG clients, building underlying infrastructure for Machine Learning and Operations Research engines, and using distributed computing architectures. You will also design and implement new AI solutions applying a range of different methodologies and best-in-class technologies.

Kantar Italy Go Industry
19 May 2021 PhD position in Optimization under Uncertainty

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The PhD program in Applied Economics and Management (AEM) is run jointly by University of Pavia (Department of Economics and Management) and University of Bergamo (Department of Management, Information and Production Engineering and Department of Management, Economics and Quantitative Methods).

The AEM program offers PhD students a wide range of skills, both instrumental and specialized, in the fields of Economics and Management. The program provides acquisition of high competence skills in quantitative analysis, with a widespread coverage of techniques. The main focus is on data analysis, with applications to:

companies and businesses having information regarding customers
industry regulation and cost-benefit analysis
business performances and competitive strategies
economics applied to market analysis.
PhD students will learn how to deal with the growing economic complexity in business and economic analysis deriving from the greater interactions and interdependencies in socio-economic and financial relationships. The research activity performed during the program will have high scientific standard and give rise to developments in basic and applied research starting with interdisciplinary training.

The AEM PhD programme qualifies as "Innovative" according to the Italian Ministry of University and Research (MIUR) Guidelines since it fulfils the requirement "International PhD", having a 25% share of the Faculty composed by academics working for international universities. Teaching and research activities will be delivered and develop in English.

The PhD program is based on a three-year research activity. It is coordinated by the Faculty Committee, which is also responsible for selecting each PhD student's supervisor. The Committee periodically verifies in Research Workshops that the students successfully fulfil all the requirements to achieve the final degree.

University of Bergamo and University of Pavia Italy Go Academia
08 Mar 2021 Research Fellow in optimisation under uncertainty for hydrogen-led decarbonisation strategies

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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.

Department of Chemical Engineering, UCL United Kingdom Go Academia
07 Mar 2021 Tenure-track Assistant Professor in Operations Research at Tor Vergata Roma

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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

Tor Vergata, Roma Italy Go Academia
28 Feb 2021 Research associate (PhD or PostDoc) position

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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).

DPO, RWTH Aachen University Germany Go Academia
28 Feb 2021 Assistant Professor positions (tenure-track)

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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.

Department of Statistics, Universidad Carlos III de Madrid Spain Go Academia
28 Feb 2021 Junior Applied Science Intern

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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?"

Zalando SE Germany Go Industry
26 Feb 2021 PhD position in the Discrete Optimization group

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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

TU Berlin Germany Go Academia
10 Feb 2021 1 year Post-doctoral position “Sustainable Transport Under Pandemic Context”

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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/

University of Littoral, Dunkerque, France Go Academia
11 Jan 2021 Postdoc/Senior researcher position in Algorithms/Optimization research

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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.

Hamburg University of Technology (TUHH) Germany Go Academia
01 Jan 2021 PhD position in Algorithmics

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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.

Faculty of Electrical Engineering, Mathematics & Computer Science, TU Delft The Netherlands Go Academia
01 Dec 2020 Three Open-Rank Tenure-Track Positions: OR Department at the Naval Postgraduate School

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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 .

Department of Operations Research, Naval Postgraduate School Monterey, California Go Academia
20 Nov 2020 PIMS Postdoctoral Fellowship in Combinatorics

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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

University of Victoria Canada Go Academia
18 Nov 2020 Fully-funded PhD positions in algorithms/scheduling

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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.

Hamburg University of Technology (TUHH) Germany Go Academia
06 Nov 2020 PhD @ Imperial College (Optimization/Game theory)

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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/

Imperial College London UK Go Academia