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Applicants are invited for a postdoctoral position as part of a research project within the department of Electrical Engineering and Computer Science at Khalifa University of Science and Technology, Abu Dhabi, UAE.

Job Description:

The project aims to consider continuous/discrete optimization problems, particularly those arising in Machine Learning, under the framework of robust optimization, where the input data is given with some uncertainty. The goal is exploit the structure of these optimization problems in order to develop efficient algorithms for finding near-optimal solutions under the worst-case choice the input can assume from the uncertainty set. Experience with optimization software and programming languages such as C++, Python, Matlab, Gurobi is strongly recommended, as part of this project will focus on providing efficient implementations of the developed algorithms.

Required Qualifications:

- Ph.D. in Theoretical Computer Science, Operations Research, or equivalent
- Strong mathematical background in areas like continuous/discrete optimization and
- Solid programming skills (e.g. C++, Python, Matlab, Gurobi)
- Familiarity with Machine Learning algorithms is highly preferred.

The position will be for a duration of 1 year, starting as early as possible. Interested applicants are encouraged to send a CV by December 30th, 2019 to Khaled Elbassioni (khaled.elbassioni@ku.ac.ae).




Khaled ElBassioni
Professor
Electrical and Computer Engineering

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A PhD or Postdoc position is available in the "Discrete Mathematics
Group" at TU Berlin, supported by the newly established DFG-NCN
project "Order and Geometry". This is a joint project between the
groups of Stefan Felsner in Berlin and the group of Piotr Micek in
Krakow. The research within the project ranges from coloring problems
to encodings mostly in relation to graphs and orders defined in a
geometric setting. For a more detailed description see
(http://page.math.tu-berlin.de/~felsner/o+g-short.pdf).

Candidates should have an excellent academic degree in mathematics,
computer science or a related area, and must have very good knowledge
in discrete mathematics. Communication skills and solid English
writing skills are expected. Special knowledge in combinatorial geometry or
combinatorics of partially ordered sets are desirable.

Besides its many cultural attractions, Berlin offers a strong
scientific landscape including three major universities, the MATH+
cluster promoted by the German Excellence Initiative, and the DFG
research training group "Facets of Complexity" these offer
opportunities for joint research and support for PhD students and
postdocs (e.g., meetings, lecture series, summer schools etc.).

Applicants should send their application as *a single pdf* file containing:
- cover and motivation letter
- curriculum vitae
- copies of diplomas
- summary of thesis (max. 2 pages)
- names and contact details of one or two referees (including thesis advisor)

by December 20, 2019

to
Prof. Dr. Stefan Felsner
felsner@math.tu-berlin.de
http://page.math.tu-berlin.de/~felsner/

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Funding is available for a PhD position at Rutgers Business School (Newark and New Brunswick) on the Ph.D. in Management Program, specializing in Operations Research, to start in September 2020. See https://www.business.rutgers.edu/phd/operations-research for more details of the program.

The successful applicant will work with Thomas Lidbetter (https://www.business.rutgers.edu/faculty/thomas-lidbetter) on the NSF funded project, Continuous Search and Patrolling on Networks (abstract given here: https://nsf.gov/awardsearch/showAward?AWD_ID=1935826&HistoricalAwards=false). The project will use game theory, graph theory and other operations research techniques to study search and patrolling problems on networks.

Applicants should have a strong quantitative background, and will have completed an undergraduate and/or Master?s degree in mathematics, computer science or a related discipline before commencing the program.

Candidates should send an email with CV attached directly to Thomas Lidbetter at tlidbetter@business.rutgers.edu by December 20th 2019. Following an informal selection process, the successful applicant will be required to formally apply for a place on the program through Rutgers Business School by February 1st 2020.

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Applicants are invited for a postdoctoral research fellow at the
Mathematics Institute at the University of Warwick to work with Dr. Hong
Liu as part of the UKRI Future Leaders Fellowship project “Embeddings in
Sparse Graphs”.

Deadline for application: 18 Dec 2019.

This is a fixed term contract for 2 years. The preferred starting date is
between 1 February to 1 October, 2020. The exact starting date is
negotiable. There is no teaching requirement. The annual salary starts at
Grade 6: £30,942. Additional funding is available for travel and other
expenses.

The application should include the following documents: CV, list of
publications, research statement and 3 letters of recommendation. All
applicants should ensure that their 3 referees send their references by
email to Alison Glendinning (Departmental Secretary, Department of
Mathematics, University of Warwick) by email to MathematicsPA@warwick.ac.uk

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The Department of Industrial and Systems Engineering at the University of
Wisconsin-Madison invites applications to its PhD program, due December 15.

PhD students in ISyE conduct research in methodological areas such as
mathematical optimization, operations research, data analytics, and human
factors engineering, and in applications such as healthcare, production and
transportation systems, under the guidance of our world-class faculty
members . Research and teaching
assistantships are available to support all PhD students in ISyE. There is
strong demand for our PhD graduates in academia, industry, and the public
sector.

More information about the department and the PhD program is available here
<
https://www.engr.wisc.edu/department/industrial-systems-engineering/academics-2/master-of-science-phd-in-industrial-systems-engineering/
>.

See here <
https://guide.wisc.edu/graduate/industrial-systems-engineering/industrial-engineering-phd/#admissionstext
> for application instructions.

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The Department of Industrial Engineering and Operations Research at
Columbia University invites applications to its PhD program.

Candidates with interest in the theory and/or practice of optimization will
have the opportunity to work with the IEOR faculty members
, whose
research interests go from discrete to continuous optimization, to
applications in finance, revenue management, healthcare, and machine
learning, among others. Graduates from the program have gone on to careers
in academia, research, and industry. The department provides academic and
funding support for its students.

The deadline for application is December, 15th.

See here for more information about
the program and here for
the application process.

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We are seeking candidates for a 2-year post-doctoral fellowship
position to work at the Institute of Computing, University of
Campinas, Unicamp, Campinas, SP, Brazil. This fellowship is part of a
Project, entitled ``Investigation of hard problems from the
algorithmic and structural standpoints'', funded by the São Paulo
Research Foundation (Fapesp).

Goals.
Development of approximation algorithms and exact solution methods for
packing problems, mainly for two- and three-dimensional versions.
Obtain new or better approximation factors for variants or improved
models and algorithms for packing problems.

Specifications.
The candidate must have a Ph.D. in Computer Science, Operations
Research, Applied Mathematics or in a related field. The candidate
must have finished the Ph.D. less than seven years before the
beginning of the PD fellowship. The candidate should demonstrate a
solid background in the design and analysis of algorithms,
approximation algorithms, integer programming, heuristics, and
meta-heuristics. The candidate is expected to interact with other
members of the project, including masters and Ph.D. students and
professors.

Fellowship:
The post-doctoral fellowship includes a monthly stipend of R$ 7.373,10
(about USD 1,750 and EUR 1,580), access to the health-care system of
Unicamp, and research contingency funds (15% of the annual value of
the fellowship, each year). For more details, check out Fapesp’s
webpage http://www.fapesp.br/en/5427.

How to Apply:
The candidate must send by email until December 15, 2019, the
following documents:

* Curriculum vitae with a list of publications, and previous experience.
* A motivation letter for the application.
* Contact of an earlier supervisor that can give a recommendation.

All documents must be sent by email to Flávio K. Miyazawa at fkm@ic.unicamp.br.

More information
* Institute of Computing, Unicamp
www.ic.unicamp.br/en
* University of Campinas (Unicamp)
https://en.wikipedia.org/wiki/University_of_Campinas
www.unicamp.br/index.php/english
* The city of Campinas
Campinas, the most surprising city in Brazil
https://youtu.be/nool_9y02vE

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Mathematical Models and Algorithms for Allocating Scarce Airport Resources (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Science Research Council, UK (EPSRC) involving Lancaster University and University of Leicester. At Lancaster, OR-MASTER will be undertaken by the Centre for Transport and Logistics (CENTRAL). Professor Konstantinos G. Zografos at Lancaster University is the Principal Investigator and overall Programme Director.Professors Kevin Glazebrook (Lancaster) and Edmund Burke (University of Leicester) are the two Programme Co-Investigators.

OR-MASTER will develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. To achieve our objectives we seek to recruit three world-leading post-doctoral researchers (x1 Senior Research Associate x1, x2 Research Associate) with ambition, potential and determination. The RAs may also have the opportunity to work in other projects undertaken by CENTRAL.

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Mathematical Models and Algorithms for Allocating Scarce Airport Resources (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Science Research Council, UK (EPSRC) involving Lancaster University and University of Leicester. At Lancaster, OR-MASTER will be undertaken by the Centre for Transport and Logistics (CENTRAL). Professor Konstantinos G. Zografos at Lancaster University is the Principal Investigator and overall Programme Director.Professors Kevin Glazebrook (Lancaster) and Edmund Burke (University of Leicester) are the two Programme Co-Investigators.

OR-MASTER will develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. To achieve our objectives we seek to recruit three world-leading post-doctoral researchers (Research Associates) with ambition, potential and determination. The RAs may also have the opportunity to work in other projects undertaken by CENTRAL.

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The University of Southampton is seeking a motivated candidate with experience in Operational Research to work as a Research Fellow on a research project with the National Grid Electricity Transmission (NGET), the owner of the high-voltage electricity transmission network in England and Wales. The Research Fellow will be a member of the Operational Research group within the School of Mathematical Sciences, University of Southampton, and of CORMSIS, the Centre for Operational Research, Management Sciences and Information Systems, one of the largest and strongest groups of Operational Research/Management Science researchers in the UK.

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The School of Mathematics in the University of Edinburgh wishes
to appoint five WHITTAKER RESEARCH FELLOWSHIPS. We are seeking
outstanding candidates to enhance the current strengths of the School,
to connect existing areas of expertise within the School, or to pursue
connections with application areas. The fellowships are each
for three years and feature a 10% teaching duty.

The School intends to appoint at least one fellowship in each of its
themes: Optimization, Operational Research and Statistics (OORS);
Applied and Computational Mathematics (ACM); Analysis and Probability (AP);
Structure & Symmetry (SS – featuring Algebra, Geometry, Mathematical
Physics, Topology). Applications that sit between or beyond these
themes or are based in Mathematical Sciences Education (MSE) are
also welcome.

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Applications are invited for a Postdoctoral Research position at Universidad Adolfo Ib??ez (Santiago, Chile) to work on the development of optimization methods for large-scale project management and applications in strategic mine planning. Applicants with strong computational skills and an interest in optimization and natural resource management are encouraged to apply. Applicants should have obtained their Ph.D. no earlier than 2014.

This two-year position has a broad research mandate, with possible focus areas ranging from the methodological (general decomposition methods, cutting-planes, constraint programming, or others), to more applied computational work in mining with our many industrial partners. Though no previous experience in scheduling or mining is required, post-holders will be expected to dominate these fields during the course of the position and be able to work both independently, and as part of a multi-disciplinary team comprised of optimizers, mining engineers, computer scientists, programmers, and others.

The position comes with the opportunity to develop a research or professional career in a high-impact industry, work with real data and ongoing mining projects throughout the world, develop large-scale optimization technologies in the cloud, and be part of an international network of research and industrial collaborators in the United States and Australia. Willingness to travel during the post-doc position is a plus.

The post is available from October 1st, 2019, or a mutually agreed date. Based in Santiago, Chile, at the Universidad Adolfo Ib??ez, Pe?alolen Campus, the position has a starting salary of USD $40,000 before taxes.

Please enclose with your application your CV, a research statement, and three references to which recommendation letters can be solicited.

The position will remain open until a suitable candidate is found.

Informal enquiries are encouraged; please contact Professors Eduardo Moreno or Marcos Goycoolea by email at eduardo.moreno@uai.cl and marcos.goycoolea@uai.cl.

--
Eduardo Moreno, Ph.D.
Professor - Research Director
Faculty of Engineering and Science
Universidad Adolfo Iba?ez

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This is an exciting opportunity for an ambitious graduate with the ability and confidence to embed academic knowledge in the areas of data science, machine learning and optimisation, into the innovative software platform of 365 Response Ltd. In particular, the focus is on developing new tools to improve transport flow and resource utilisation across health and care to improve quality of care for service users and efficiency for providers.
The University of Manchester and 365 Response Ltd, are looking to recruit a Research Associate to undertake this KTP project.

The position will provide you with a unique opportunity to lead the transfer of knowledge from the University of Manchester through to the health & care industry, the development of novel algorithms that tackle transportation problems in health & care and their implementation in 365 Response software platform. In addition to your salary, you will have access to a budget of £5,000 for professional development and training.
You will be required to have a recently-obtained 2:1 degree (or equivalent) and a PhD in a subject related to data science, machine learning and/or mathematical optimisation (e.g., Computer Science, Physics, Engineering, Applied Mathematics, Business Analytics, Operations Research, Business Engineering, Data Science, Data Analytics, Artificial Intelligence, etc.),

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Here is an opening for a research fellow position in Pisa, concerned with mixed-integer non-linear programming (MINLP) problems.

To apply, follow the instructions at this link:

https://www.unipi.it/ateneo/bandi/assegni/2019/inf/07112019/index.htm

Deadline: 7 November 2019, 13:00 (Rome, Italy time)

About the research:

We are looking for an enthusiastic research fellow to join us, studying mathematical optimization problems that combine both discrete and (continuous) nonlinear elements.
It is well-known that the algorithmic approaches for Mixed-Integer Linear Programming (MILP) and Non-Linear (continuous) Programming (NLP) taken alone
are not sufficient to tackle this class of problems. Indeed, the underlying mathematical structure combines non-convexities of the discrete elements with nonlinear functions.
This is very significant from a practical point of view, in that it allows to more accurately model the complex structures that are required by real applications, ranging from energy, telecommunication to transportation and logistics, fostering an interplay between industry and academia.
Currently, there are several theoretical, algorithmic and computational challenges in MINLP, that have now clearly caught the attention of all major optimization societies.

The position is funded for 2 years.
Please circulate to potentially interested people.

Contact:
Laura Galli
Senior Assistant Professor of Optimisation
Department of Computer Science
University of Pisa
Largo B. Pontecorvo, 3
56127, Pisa
T: +39 (0)50 2212715

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The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in February 2020 or as soon as possible thereafter. For eligible students the studentship will cover UK/EU/International tuition fees plus an annual tax-free stipend of at least £15,009 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the College of Engineering, Mathematics and Physical Sciences at the Streatham Campus in Exeter.

Project Description:
Mathematical optimisation problems arising from real-world applications typically consist of many interconnecting components, i.e. a fleet of vehicles at a delivery depot, crew and aircraft in airline operations and the numerous, semi-autonomous power stations supplying the electricity grid. These interconnections introduce structure that can be exploited through the use of decomposition techniques. A popular decomposition technique used to exploit such structure is Benders’ decomposition.

Recently, a general Benders’ decomposition framework has been made available within the mathematical and constraint programming solver SCIP (scip.zib.de). This framework provides the functionality to solve many real-world optimisation problems, specifically mixed integer programs and convex quadratic programs. However, there are still many problem classes that are not fully supported, such as convex and non-convex mixed integer non-linear problems. The goal of this project is to extend the Benders’ decomposition framework in SCIP to handle a wider range of problem classes. This will involve the development of novel solution algorithms that can be applied to general problems instances.

This project requires a high competency in mathematics and software design and development. You will become part of the SCIP Development Team (scip.zib.de) and contribute to the growth of this highly regarded general purpose solver. Knowledge of discrete optimisation, operations research and linear programming is a bonus.

How to apply:
In the application process you will be asked to upload several documents.
• CV
• Letter of application (outlining your academic interests, prior research experience and reasons for wishing to undertake the project).
• Transcript(s) giving full details of subjects studied and grades/marks obtained (this should be an interim transcript if you are still studying)
• Two references from referees familiar with your academic work. If your referees prefer, they can email the reference direct to stemm-pgr-admissions@exeter.ac.uk quoting the studentship reference number.
• If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English.

The closing date for applications is midnight on 1st November 2019. Interviews will be held on the University of Exeter Streatham Campus the week commencing 18th November 2019.

If you have any general enquiries about the application process please email stemm-pgr-admissions@exeter.ac.uk or phone +44 (0)1392 722730 or +44 (0)1392 725150. Project-specific queries should be directed to Dr Stephen J. Maher s.j.maher@exeter.ac.uk.

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We are looking for a highly motivated candidate for a PhD in operations research and data science. The PhD is in collaboration with Padam (www.padam.io), a company working on a turnkey platform and developing simulation tools for on-demand transportation systems.


At the interface of 2 hot and trend topics, the project will be oriented on the following aspects:

- The design of exact and heuristics algorithms for routing problems to efficiently tackle instance of the company

- The use of original data science and probabilistic methods to improve routing decisions


To achieve this goal, the candidate will have to suggest novel algorithms combining advanced optimization techniques (e.g. mathematical programming models, hyper- and meta- heuristics) with robust and data-driven optimization techniques.


Applicants should have (or be about to finish) a relevant master degree. Good knowledge of operations research techniques (integer linear programming, graphs etc.) and data science/machine learning tools are strongly recommended. The applicant should also have good programming skills in any programming language. Expertise in working with a unix-like system (e.g. ubuntu) and knowledge in database models will be appreciated.


The PhD thesis will take place in 2 locations:
- Paris XIII University - 99, av. Jean-Baptiste Clément - 93430 Villetaneuse
- Padam - 34 boulevard Sebastopol - 75001 Paris

For more information contact:
Emiliano Traversi traversi@lipn.univ-paris13.fr
Roberto Wolfler Calvo wolfler@lipn.univ-paris13.fr

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We are building the most intelligent pricing strategy in fashion industry.
Operating in more than 15 markets and having a complex logistics.

Our aim is to bring together the power of pricing and forecasting in-order to steer our sales and improve our customer experience in all markets.

The Zalando PhD Fellowship Program is designed to encourage and support promising PhD students who are engaged in innovative and relevant research in areas related to computer science and machine learning and in general artificial intelligence (AI) at an accredited university.

The program is open to students in any year of their PhD study and is flexible with respect to start and end dates of the internship.

Applications are evaluated based on the strength of the student’s research statement, publication record and their programming skills.

We accept applicants from around the world.


RESEARCH AREAS

Optimization layer within a neural network
Multi-task learning
Graph learning
Reinforcement learning
Directly learning the gradient of a function from data
PDE based time-series forecaster


WHERE YOUR EXPERTISE IS NEEDED

Apply state of the art deep learning methods such as having an optimization layer within the forecaster network
Multi-task learning with more than 400K tasks and graph learning to solve our real-world problems in pricing and forecasting
Graph learning to reveal article interactions
Apply technologies and tools proficiently to maximize output and efficiency
WHAT WE ARE LOOKING FOR

Senior PhD students with a strong background in mathematics
Fluent in Python programming
Knowledgeable about state of the art deep learning solutions and familiar with optimization algorithms
Proficiency in English


PERKS AT WORK


Acquire stakeholder management skills in a fast paced e-commerce environment
Large amount of data and one of the best ML infrastructure in Europe
Centrally located offices, municipality services, flexible working times, free beverages and fruits, diverse sports and health offerings
A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
A full-time, paid internship for at least 4 months, starting ASAP



We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


ABOUT ZALANDO

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 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

Job Info:
Location: Berlin
Contract: Internship
Job Category: More Central & Business Roles
Experience Level: Internship / Working Students
Reports to: Principal Data Scientist
Team Size: 5-10
Contact Recruiter Joanna Litwin - E-Mail: joanna.litwin@zalando.de

Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

Link: https://jobs.zalando.com/en/jobs/1821624/?gh_jid=1821624&gh_src=mae4u01

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Description:
The Department of Management at Università Ca' Foscari Venezia invites applications for n. 1 fellowships in ‘Big Data Analytics Techniques for intangible assets analysis’, INTERREG V A IT- HR CBC Programme - "Standard" - Project: "Smart strategies for sustainable tourism in LIvely cultural DEstinations, S.LI.DES." (Project ID: 10044622) - CUP H74I18000060006 – under the supervision of prof. Raffaele Pesenti SSD MAT/09.
The research may be carried out in Italian and English.
The fellowship is intended to provide the successful candidate with the opportunity to pursue his/her own research while benefiting from the range of expertise at Università Ca' Foscari Venezia.

Position’s Identification code:
Title: Big Data Analytics Techniques for intangible assets analysis
WP3, A3.1, A3.2, A3.4, WP4, A4.2, WP5, A5.1
Abstract: Many heritage cities currently suffer damaging anthropic pressure on local cultural heritage. There is growing need to support the development of sustainable tourism practices, through the availability of dynamic and specific knowledge on visitor flows and local economic activities in order to better distribute the tourism demand in time and space. The research project aims to study and develop models and methodologies to analyze, monitor and manage visitor flows and mobility patterns in congested cities in order to decrease human pressure to heritage sites to preserve and valorize local identity and (tangible and intangible) typical cultural heritage. The research activity will be particularly focused on developing now-casting/forecasting models and scenarios and possibly also on data analysis, interactive datahub & dashboard design, dynamic mapping. The research activity also involves collaborating with various local stakeholders in order to highlight problems, identify approaches and validate solutions. Consequently, missions in Italy and abroad may be required to interact with the subjects. It is also necessary that the research fellow guarantees the presence, quantifiable in at least two days a week, in the Department.

Who can apply:
Prospective candidates are expected to hold master’s degree in computer science; statistics; math; physics; computer science/IT; automation; systemics and mathematical modelling, o electronics; economics and management and relevant experience on the research topic and scientific-professional curriculum suitable to the development of research activities related to the fellowship.
Ca' Foscari encourages applications from researchers with positive evaluation in all the criteria in individual proposals such as Marie Skłodowska Curie Actions - Individual Fellowships/ERC Starting Grants/FIRB (Italian Fund for basic research investments)/SIR (Scientific Young Independence Research) or similar.
Researchers having successfully completed Marie Skłodowska Curie Actions - Individual Fellowships/ERC Starting Grants/FIRB (Italian Fund for basic research investments)/SIR (Scientific Young Independence Research) or similar funded projects are warmly encouraged to apply.

Duration of contract: 12 months (approximately starting: November 2019);

Stipend: The research fellowship amounts to 19.367,00 Euros per year, including taxes and social
charges.

Deadline for submission of applications: October 25th 2019, 12 noon (Italian time).

How to apply:
see related link.

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Vattenfall aims to be Fossil free within one generation. A significant part of that journey is to develop, build and operate our Offshore Windfarms. With an increased competition on the market, increasing number of won projects and a larger asset portfolio the capability to design the world’s most efficient future wind farms is essential.

Vattenfall has also started a successful journey into digitalization and usage of analytics for business decisions. Our efforts in using Operational Research and Analytics for offshore wind farm design has been recognized by international awards, proving our to be state-of-the-art work in the applications of these techniques in practice.

In this framework, we are looking for a Optimization Specialist with Operational Research experience to grow our modelling team within the System Design department.

• Do you thrive in a true engineering environment with high technical focus and great ambitions?
• Will development and usage of mathematical optimization to answer complex questions motivate you?
• Are you motivated to solve complex real-world optimization problems that can contribute to a fossil free future?
• Do you want to work with some of the absolute best in the field?
• Would you take the challenge of working on the latest challenges of this quickly developing field?
• Are you ready for accelerated learning?
• Would you like to take part in developing a greener future?
• Would you like to work with a holistic mindset while having eyes for the details?

Then this is a great opportunity for you.

You will be part of the modelling team within System Design department which is the competence center for evaluation and modelling of technical solutions across the entire wind farm design. We use operations research and analytics for optimizing various aspects of the design, construction, and operation of our wind farms. Given the results we have achieved so far we want to accelerate the use of mathematical optimization in our business by creating a group with a strong OR expertise, that will be able to work on optimization tasks across the organization.

Your job

You will be part of the establishment of a strong Operations Research team in the energy business, working with the best specialists in the business. You will work closely together with experts and specialists in various departments inside the company, and be responsible for the development of optimization routines in Vattenfall. You will interact with different stakeholders, translating their specific needs into problems which can be solved using advanced mathematical optimization and analytics.

In particular, you will continuously create new and extend existing mathematical based optimization routines that integrates into the existing model suite we use to explore multiple potential solutions, and create robust pre-designs of wind farms, to guide our business decisions as well as making credible pre-evaluation of new technologies on product, system and park level. The achieved findings and recommendations are essential to guide Vattenfall’s technology planning and technology roadmaps in order to be able to develop, construct and operate the most cost efficient windfarms in the world.

Main tasks includes:
• Develop optimization routines that integrate into a bigger model framework
• Participate in the exploration of new optimization challenges.
• Identify optimization needs inside the company and their potential.
• Proof and validate the results of the developed models/routine
• Maintain interfaces to the academic world and participate in various research projects
• Personal growth

Your profile

You have an innovative mind-set and can see yourself working in a department where we value entrepreneurship, the pragmatic approach and helpfulness in our daily work. You can work self-dependent while sharing and seeking knowledge inside and outside the team. You have experience handling a long-term optimization project and like working in group. You show initiative and have a flexible approach to your work. You possess good interpersonal skills and can communicate technical messages on a clear and constructive way both internally and to external partners. You thrive in an informal environment, where we often invent the process and tools. In addition, the following qualifications are important for this position:

• Our successful candidate has a PhD degree (or equal) in Operational Research or 3 year experience in working with Operational Research projects
• Experience in carrying out a project in autonomy
• Positive, motivated and able to speak with different stakeholders
• Good knowledge of coding for optimization (C, C#, python or similar) and optimization tools (CPLEX, Gurobi or similar)
• Experience with Vehicle Routing, planning problems, and/or large-scale problems is a plus
• Experience in optimization for the wind business is a plus
• A strong connection with international research teams from academia, is a plus.
• Strong analytical mind, that on one side can dig deep into advanced optimization methods and on the other side understands the business impact of the results, and sees the bigger picture.
• Sitting in the System design department, a profound system understanding with multiple parameters and interfaces, embracing high complexity, is paramount.
• Natural curiosity and strong personal drive to constantly challenge the perceived reality, and do your best to steer away from sub-optimal solutions.
• Strong command of English, both verbally and written.

We offer:

We offer a challenging and independent job in an informal working environment. Good remuneration, a challenging and international work environment, and the possibility to work with some of the absolute best in the field. You will be working in an interdisciplinary and international team and you can always count on support from committed colleagues. We offer attractive employment conditions and opportunities for personal and professional development.

Location:
Office location is Kolding, Denmark, but occasional travel within northern Europe shall be expected.

More information:
For more information about the recruitment process contact Jette Ingeberg, Senior Recruiter on +45 22 57 07 51.
For inquires relating to the job content and scope feel free to contact Thomas Hjort, Head of System Design on +45 27 87 49 07.

Application
We look forward to receiving your application in English, including CV and cover letter via the application button at this page. The application deadline is October 20th 2019, but we conduct interviews on an ongoing basis. Therefore we encourage you to apply as soon as possible.

We look forward to receiving your application.

Our Organization:
At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be a good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation.

Energy is our contribution to quality of life – day after day. With around 20.000 colleagues Vattenfall provides comprehensive electricity and heating offerings to several million customers in northern Europe. For the work ahead we need people who are fully dedicated to our customers and to a sustainable society – people like you.

Business Area Wind is responsible for Vattenfall’s Onshore and Offshore Wind as well as other non-hydro Renewable activities like solar PV and batteries. Today we develop, construct and operate wind generation in Sweden, Denmark, Germany, the Netherlands and the UK. In addition, we have a clear strategy to develop our solar PV and battery operations further.

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Applications are invited for a postdoctoral position within the Machine Learning group at BCAM. The postdoctoral candidate will work under the supervision of Professor Jose Antonio Lozano. (Machine Learning group and Scientific Director of BCAM)

Topics: Artificial Intelligence, Machine Learning and Temporal Data.

Skills/Qualifications

Good communication and interpersonal skills.
Ability to effectively communicate and present research ideas to researchers with different background.
Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form.
Good command of spoken and written English.
Good programming skill in R or python languages
Specific Requirements

The preferred candidate will have:

Research experience and interest in Artificial Intelligence in general with particular emphasis in areas such as: machine learning and mining of temporal data
Experience on analysis of very large datasets, preferably containing temporal data
Experience in working with real AI problems
Experience on the mathematical modelling of problems and algorithms in AI


More information: http://www.bcamath.org/en/research/job/postdoctoral-fellowship-in-artificial-intelligence-ai2019

Contract and offer: 14 months (starting in November 2019)
Deadline: October 18th 2019, 14:00 CET (UTC+1)
Salary: The gross annual salary of the Fellowship will be 28.000 – 32.000€. There is a moving allowance for those researchers that come from a research institution outside the Basque Country from EUR 1000 to EUR 2000 gross.
How to apply: Applications must be submitted online at www.bcamath.org/en/research/job

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The Engineering Management and Decision Sciences division at the College of Science and Engineering, Hamad Bin Khalifa University (HBKU) - Qatar seeks applications for a Post-Doctoral Position in the area of Logistics and Supply Chain and Operations Management to start as soon as possible. The position is typically for one year with possibility of additional yearly extensions depending on the research performance of the Post-Doctoral researcher. The position is full-time at HBKU in Qatar and a competitive financial package of about $88,000 (tax free) per year is provided. Review of applicants will begin immediately. The posting is expected to remain open until the position is filled.


Required Qualifications & Skills for the Post Doc positions
· Applicants should hold a Ph.D. in Industrial Engineering, Operations Research, Supply Chain Management or related field from a reputable university
· Applicants should have strong modeling and mathematical skills as well as coding and mastering appropriate optimization and simulation packages

· Applicants must be active researchers with demonstrated good record of scholarly journal publications in one of the above-mentioned research streams or related topics

· English language proficiency is a must.


Application Procedure:
To apply, please e-mail your curriculum vita, to Dr. chefi Triki at ctriki@hbku.edu.qa



About HBKU:

Hamad Bin Khalifa University (HBKU), a member of Qatar Foundation for Education, Science, and Community Development (QF), was founded in 2010 to continue fulfilling QF’s vision of unlocking human potential. HBKU is a homegrown research and graduate studies University that acts as a catalyst for positive transformation in Qatar and the region while having a global impact.

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You will be a member of the discrete mathematics group. Many important activities in mathematics are organized on a national level in the Netherlands. We are actively involved in these national efforts, for instance through the national research cluster DIAMANT and the NETWORKS programme. We also contribute to the national programme Mastermath by offering courses on a master/PhD level.

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The Department of Economics and Finance at LUISS has some openings for postdocs two of them on the following research projects:

- Stochastic methods in algorithmic game theory, Prof. Marco Scarsini.

A notice of competition by way of comparative evaluation is hereby issued for the awarding of 1 research grant at the Department of Economics and Finance of Luiss Guido Carli in the scientific area of Mathematics.

- Games on networks and Markov chains, Prof. Marco Scarsini.

A notice of competition by way of comparative evaluation is hereby issued for the awarding of 1 research grant at the Department of Economics and Finance of Luiss Guido Carli in the scientific area of Mathematics.

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Borsa della durata di 8 mesi (scadenza 2 ottobre 2019, ore 13.30) sulla gestione ottimizzata del controllo glicemico nel paziente perioperatorio. La sede
di lavoro e' Firenze (Careggi e Dipartimento di Ingegneria dell'Informazione).

Per ulteriori informazioni potete contattare:
Paola Cappanera (paola.cappanera@unifi.it) o Maddalena Nonato (maddalena.nonato@unife.it)

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We are looking for a highly motivated and creative post-doctoral researcher
to work on the ERC funded project Symmetry in Computational Complexity
(CoCoSym) under the supervision of Libor Barto at the Department of
Algebra, Faculty of Mathematics and Physics, Charles University, Prague.

The project concerns the complexity and approximability of fixed-template
constraint satisfaction problems over finite domains and their
generalization to infinite domains and weighted relations.

The duration of the position will be between one and three years. The
starting day is flexible, applications will be considered until the
position is filled. The position carries no teaching load. The position is
fully funded from the ERC grant, funding for conference travel is also
available.

Applicants should send a CV, a statement of research experience and
interests, and a list of publications (that may include a short annotation
of at most three of their best papers) in a single PDF file to Libor Barto (
libor.barto@mff.cuni.cz). Applicants should also arrange for at least two
recommendation letters to be sent directly to the same email address.
Informal inquiries are welcome.