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Displaying opportunities 251 - 275 of 400 in total
Expires Title Institution Country Link Type
30 Jun 2017 PhD position in Operational Research

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A PhD position in Operations research is available at INRIA Lille (France) in the INOCS team : and Ecole Polytechnique de Montréal

Title : A Leader-Follower Framework for Demand Response
Keywords Optimization, operations research, Energy

The PhD thesis will be done according to a co-tutelle agreement between Ecole Polytechnique de Montreal and Centrale Lille. It will be partly supported (50%) by Canada

Scientific supervisors: , ,

To apply, please send a cv and a motivation letter to the scientific supervisors

Electricity is a critical source of energy for our society. The smart grid encompasses the developments concerning the power system that are taking place, or need to take place, for the system to better meet the needs and expectations of society in the 21st century. However it also brings up new challenges to operate the resulting system. These include using the power grid already in place more efficiently, integrating renewable energy sources such as wind and solar power generation, managing the flows of power and of information, and integrating loads as active participants in the grid operations.

A central challenge in the full implementation of the smart grid is the effective integration of the customers as active participants in the grid, a process generally referred to as demand response. This includes every means available to support an active role of the loads in shaping the load curve of the grid: peak clipping, valley filling, load shifting, strategic conservation, strategic load growth, and flexible load shape. Although direct load control can be effective to handle a small number of large loads, it is certainly not practical for managing demand response in the smart grid of the future.

The objective of the proposed research is to design and implement a new framework to ensure the economic efficiency of the provision of demand response . This research is set in a context where companies providing energy via the power grid, such as utilities and virtual power plants, can use dynamic electricity pricing to incentivize their customers to shift all or part of their loads from the peak periods to off peak periods so as to adjust the load curve in a way that facilitates the operation of the power grid.

We will capture the economic aspects of this context using a leader-follower framework . This is a wellknown game-theoretic framework applicable to situations where there are two decision levels with conflicting objectives. In its simplest form, there are two players, namely the leader and the follower. The leader and fully controls a set of variables that represents its decisions, and the follower solves an optimization problem according to its own interests, but taking the leader's decisions as given. The resulting model is a bilevel optimization problem.

Bilevel optimization is a difficult class of problems; indeed all leader-follower frameworks lead to intrinsically difficult problems. Thus it is imperative to take exploit the characteristics of the speciffc application to formulate and solve these problems.

INRIA Lille and Ecole Polytechnique de Montreal France and Canada Go Academia
30 Jun 2017 PhD positions in Data Science, Industrial Engineering, Operational Research, Computer Science

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The research group in Health Care Management of the School of Mines in Saint-Etienne is seeking a PhD candidate in Data Science and/or Industrial Engineering and/or Operational Research and/or Computer Science

Subject Title : Medical decision analytics using health data: application to the lung cancer case study
Supervisors: Vincent Augusto, Xiaolan Xie and Raksmey Phan
Structure: Mines Saint-Etienne, UMR CNRS 6158 LIMOS
Location: 158 cours Fauriel 42023 Saint-Etienne cedex 2 France
Starting date: October 1 st 2017

Data analytics consists in developing optimization and/or machine learning based algorithms that learn
to recognize complex patterns within valuable and massive data. Challenges related to that topic are
numerous, and many scientific fields are involved: computer science, data science, operational
research, process and data mining.
When applied to health-care, the objectives are often summarized as improving quality and timeliness
of care, maximizing financial performance, and decreasing practice variability across organizations. It
relies on the following tasks: (i) identify critical features that impact outcomes (allocation of limited
resources/time for greater effect); (ii) seek greater use of treatment evidence to advance the quality
and effectiveness of care delivery; (iii) rapid learning and best practice dissemination. Process mining
is also a closely connected field of research (van der Aalst 2004).
The main objective of this thesis consists in developing innovative optimization and machine learning
techniques to aid medical decision using available health databases such as PMSI (Programme de
Médicalisation des Systèmes d'Information, national database of hospital stays in France), SNIIRAM
(Système national d'information inter-régimes de l'Assurance maladie, national database of the health
insurance) and local databases of the CLB (Centre Léon Bérard, hospital specialized in cancer treatment
in Lyon, France). In a previous work (Prodel 2017), the application of classification methods such as
decision trees or random forest have proven very effective to predict the clinical pathway of patients
using a set of medical features. The same approach can be applied to the prediction of medical acts
within a hospital stay, for example: “Depending on his/her medical history, can an obese patient having
a severe heart condition have a heart surgery to implant a defibrillator?” or “Depending on the stage
of the lung cancer, what is the treatment among chemotherapy, radiotherapy and surgery that
optimize the survival rate of the patient?” This problem is partly related to the tuning of parameters
used to build decision trees (Camilleri et al. 2014; Coroiu 2016).

Particle swarm optimization techniques for feature selection, coupled with an optimization-based
discriminant analysis model (DAMIP) is an emergent and promising field of research when applied to
identify a classification rule with relatively small subsets of discriminatory factors that can be used to
predict resource needs, outcome for treatment... For example, (Lee et al. 2012) proposed a clinical
decision tool for predicting patient care characteristics and demonstrated that optimization achieve
better result than classical machine learning techniques. Such approach was also used for modeling
and optimizing clinic workflow (Lee et al. 2016).The scientific challenge of this thesis is twofold:
- Propose a theoretical research to develop new algorithms combining optimization and
classification methods applied to medical decision making, taking into account the special
features of the diagnosis related groups in France and in Europe. To do so, we will capitalize
on the short advance the I4S laboratory have on (i) research in the application of optimization
to predict patient clinical pathways by combining data/process mining, operational research
and machine learning and (ii) knowledge of health-care databases in France and in UK (through
the emerging collaboration with NHS and Westminster University, London, UK).
- Develop a comprehensive testbed experiment to assess the proposed algorithms on a lung
cancer case study. Several level of discovery will be used: hospital databases (PMSI), health
insurance databases (PMSI+SNIIRAM) and finally hospital databases (PMSI+SNIIRAM+Centre
Léon Bérard database) to understand the amount of required data needed to aid the medical
decision. To the best of our knowledge such case study has never been investigated in the

National databases such as PMSI and SNIIRAM are already available for such study, and a collaboration
with the Centre Léon Bérard (Lyon, France) is already live to access more detailed data, with the
support of the I-Care cluster (Lyon, France) for dissemination of ongoing research on big data and

The candidate should have strong background in data science (machine learning, process mining, data
mining, artificial intelligence), industrial engineering (formal modelling, flow simulation, performance
evaluation), operational research (mathematic modelling, optimization) and computer science (coding
C/C++/Python, Java, knowledge on mathematical libraries, statistics, optimization).
Send a CV, motivation letter, marks of the 3 previous years (including current one) to
in order to schedule an interview.

(Camilleri et al. 2014) M. Camilleri, F. Neri, and M. Papoutsidakis. “An algorithmic approach to parameter selection in machine learning using meta-optimization techniques”. WSEAS Transactions on Systems, 13:202–213, 2014.
(Coroiu 2016) A. M. Coroiu. “Tuning model parameters through a genetic algorithm approach.” In IEEE
12 th International Conference on Intelligent Computer Communication and Processing (ICCP), pages
135–140, Sept 2016.
(Lee et al. 2012) Lee EK, F Yuan, DA Hirsh, MD Mallory and HK Simon. “A clinical decision tool for
predicting patient care characteristics: patients returning within 72 hours in the emergency department”, AMIA Annu Symp Proc., 495-504, 2012
(Lee et al. 2016) Lee EK et al. “Systems Analytics: Modeling and Optimizing Clinic Workflow and Patient
Care”, In Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, chapter 9, 2016
(Prodel 2017) M. Prodel. “Process discovery and simulation of clinical pathways using health-care
databases”. PhD Thesis, 2017.
(van der Aalst 2004) Wil M van der Aalst. “Workflow mining: Discovering process models from event
logs”. Computers in industry, 16:1128–1142, 2004.

Ecole de Mines de Saint-Etienne France Go Academia
30 Jun 2017 Tenure-track Assistant Professorship in Big Data Analytics

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The Department of Informatics of the Faculty of Science at the University of Mons (Mons, Belgium) invites applications for a tenure-track faculty position in computer science, with special emphasis on big data analytics. The position is at the level of «chargé de cours» (assistant professor). The expected starting date for the position is October 1, 2018. Qualified candidates must have a doctorate in disciplines related to computer science or computer engineering, and should have a strong commitment to teaching and an outstanding research record in applied aspects of big data analytics. The selected person should collaborate with existing research groups of the department and be active in fundraising for industrial and governmental projects.

Candidates should be able to fulfil teaching duties in the French language after two years. Teaching duties are on both the undergraduate and graduate level, and include novel courses in the candidate’s domain of expertise.

The University of Mons is a university located in the French community of Belgium with about 8000 students. Information about the Department of Informatics can be found at

Applications should be sent by email to Prof. Dr. Véronique Bruyère (, Department Head. We encourage candidates to apply from now on. Applications must be submitted as PDF files, which include a cover letter, curriculum vitae, a one-page statement of teaching interests, a one-page statement of research interests in big data analytics, and names and contact information of at least three references. Following their application, candidates will be informed in due time about the further application procedure.

The most up to date information about the position and the application procedure will be maintained at

Uniersity of Mons Belgium Go Academia
13 Jun 2017 Phd or Postdoc position in Operational Research and Logistics

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Applications are invited for aPostdoctoral Researcheror aPhD studentat the Department of Production and Logistics of the University of Wuppertal, Germany. The position is full-time and can be started as soon as possible for the applicant. The position is funded for three years (salary according to level E13).
We have a research focus on operations research methods with application in logistics, production planning and supply chain management. Applicants should have a business administration and/or theoretical/mathematical background and an interest in at least one of the following topics:
- operational research
- auction theory
- computational complexity theory
- scheduling theory
Postdoctoral researchers from other fields may apply as well, but should be prepared to detail how they fit in the research profile of the group.
All applicants should have an excellent first academic degree in computer science, mathematics, business administration or a related discipline.
Applications should include a detailed CV, a copy of master (or PhD) thesis, a brief statement of research interests, and a list of publications (if applicable).
Please send the application not later than June 13th, 2017 to

Bergische Universität Wuppertal,

Fakultät für Wirtschaftswissenschaft - Schumpeter School of Business and Economics,

Lehrstuhl für Produktion und Logistik,

Herrn Prof. Dr. Dirk Briskorn, 42097 Wuppertal

and via email to

University of Wuppertal Germany Go Academia
09 Jun 2017 PhD position in scheduling for healthcare

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A PhD position is available at TU Berlin, in the fields of discrete and robust optimization, for a start at the earliest possible date. The project, entitled "Robust Optimization of Load Balancing in the Operating Theatre", will be under the supervision of Guillaume Sagnol at the COGA Group of the Technical University of Berlin.

* Working field:
Working in the ECMath Junior Research Group "Optimization under Uncertainty“ and the project
"Robust Optimization of Load Balancing in the Operating Theatre". Further own research in the field of discrete and
algorithmic mathematics.

* Requirements:
Successfully completed university degree (Master, Diplom or equivalent) in Mathematics, grades clearly
above average desired; deep knowledge in combinatorial optimization and/or optimization under uncertainty; strong
interest in mathematical research; experience in scientific programming (e.g. Matlab, python, julia,...)

We welcome highly motivated candidates to send their electronic application per email to (deadline for the application: 09.06.2017).

For further information do not hesitate to contact Guillaume Sagnol.

Technical University of Berlin Germany Go Academia
05 Jun 2017 Assistant Professor in System, Control, Optimisation

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Assistant Professor position in Systems, Control, and Optimization at IMT Lucca.

IMT School for Advanced Studies Lucca invites expressions of interest for an Assistant Professor position (“Type-A Ricercatore”) to carry out research in the areas of systems, control, and optimization. Research experience is expected in one of the following areas: control systems, numerical optimization, systems identification, machine learning. Research experience in model predictive control or convex optimization will be considered as a plus.

Candidates must have an excellent record of high-impact international publications and demonstrate enthusiasm for performing research. Activities include: research, tutorship and mentoring of PhD students, graduate teaching. The successful candidate will be part of the research unit Dynamical Systems, Control and Optimization ( at IMT Lucca.

The position is for 3 years, extendable for further 2 years. The indicative starting gross salary is EUR 34.898/year, net income may vary depending on income taxes, local taxes, retirement plan, health care deduction and tax exemptions. New employees who have worked in research-based positions abroad for the past two years may be eligible for a substantial tax rebate for the first three fiscal years of employment.

IMT School for Advanced Studies Lucca ( is a public graduate school and research institute, ranked #1 among all public Italian universities for quality of research in the last national research evaluation. IMT is an interdisciplinary research environment, blending scientific competencies of management science, engineering, computer science, neuroscience, physics, and management of cultural heritage, striving to reach the fusion of theoretical comprehension and practical relevance in concrete applications. The working language at IMT Lucca is English.

IMT School for Advanced Studies Italy Go Academia
01 Jun 2017 Postdoc position in algorithms

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One year research position at a postdoctoral level (with a possible one year extension) is available at Algorithms research group (, University of Bergen, Norway.

The successful candidate will work on "Multivariate Algorithms: New domains and paradigms" project funded by the Norwegian Research Council and led by Fedor Fomin. The objective of the project is to develop new theory of multivariate algorithms as well as to apply the new theory to fundamental algorithm design paradigms.

Candidates are required to have completed (or being close to completion) a PhD in the area of theoretical computer science, discrete mathematics or a related discipline. A strong background in algorithms, complexity theory, and combinatorics is a plus.

This is a full time research position, no teaching is required. Starting salary is on grade 57 (code 1109/pay framework 24.1) in the Civil Service pay grade table which currently means roughly NOK 450K NOK gross
p.a., taxes should be at most 40%.

Preferred starting date: August-September 2017. The application deadline is June 01, 2017.

If you are applying, you are encourage to contact Fedor Fomin ( - ) for more details and information.

University of Bergen Norway Go Academia
31 May 2017 Junior Research Group Leader position in Discrete Optimisation

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The Faculty of Mathematics and Computer Science at the University of
Würzburg invites applications for the position of a

Leader of a Junior Research Group

starting October 1, 2017 (or as soon as possible thereafter) for a
maximum of 5 years. The research group consists of the leader, a
postdoc, and a PhD position (50%). Payment will be according to scale
E14 of the Collective Agreement for the Public Service of German Federal
States (TV-L). We are looking for an excellent young researcher from
one of the following two areas:

Discrete Optimization Strategies for Applications


Computational Sciences --
Algorithms for Applications in the Natural and Life Sciences
(efficient implementation of mathematical models from the
natural and life sciences on high-performance computers).

The research group is expected to strengthen the links between the
Institute of Mathematics and the Institute of Computer Science.
Experience with interdisciplinary research cooperations (e.g., in
biology, medicine, or physics) is a plus. The position comes with mild
teaching duties (5 contact hours per week) within the B.Sc. and M.Sc.
programs of the Faculty. The group leader is expected to hold a PhD (or
an equivalent degree) with very good grades, a strong publication
record, and experience in an international research environment.

Würzburg is a beautiful town in the wine region of Lower Franconia,
just 90 train minutes from Frankfurt airport. More than a quarter
of the 120,000 inhabitants of Würzburg are students. The University
and the Faculty of Mathematics and Computer Science have been growing
dynamically over the last few years, partially thanks to the Bavarian
digitalization initiative.

The junior research group is part of the "Excellent Ideas" program of
the University of Würzburg:

The University of Würzburg is an equal opportunity employer. As such,
we explicitly encourage applications from women. Applications from
disabled persons with essentially the same qualifications will be given

Please submit your application by _May 31, 2017_ with the usual
documents (CV, certificates, list of publications, list of modules
taught) and a short research proposal (including state of the
art, potential research links to the Faculty and the University,
research plan, milestones) as pdf files via

Further information will be requested in the submission process.
Don't hesitate to contact the faculty manager:

Dr. Richard Greiner
email: greiner "at"
phone: +49 931 3185029

University of Wuerzburg Germany Go Academia
31 May 2017 PhD positions in various areas of computer science and optimisation

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The Gran Sasso Science Institute (GSSI - ), a recently established international PhD school and a Centre for advanced studies in L'Aquila (ITALY), offers 10 PhD positions in Computer Science (CS).

The PhD program in CS is mainly concerned with heterogeneous distributed systems and their interactions. Different perspectives are offered to provide students with the necessary tools for the design, the implementation, the management and the use of distributed systems. The main research areas of interest are:
- Efficient algorithms for communication networks and social networks;
- Formal methods for systems correctness and analysis;
- Software engineering for efficient and resilient applications.

Apart from pursuing their own research studies, the successful candidates will have the opportunity to cooperate with members of the research group and of the Scientific Board, as well as with the frequent guests of the Institute. Detailed information about the CS research group and about the activities for the PhD program in CS can be found at

The fellowships are awarded for three years and their yearly amount is € 16.159,91 gross. Moreover all PhD students:
- will have free accommodation at the GSSI facilities and luncheon vouchers;
- will have tuition fees waived;
- will be covered by insurance against accident and/or injury.

The application must be submitted through the online form available at and must be accompanied by the curriculum vitae and by a letter of motivation describing expertise and general research interests together with future plans and reasons for having chosen GSSI for PhD studies.

The deadline for application is: 31st May 2017 at 18.00 (Italian time zone).

Gran Sasso Science Institute Italy Go Academia
31 May 2017 PhD Position in Optimisation of Planning Operations for End-of-Life Products

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The research pursued by the PhD student will concern the development of new models and original solution methods for the optimization of planning operations for end-of-life products. It aims at addressing problems dealing with the newly introduced concept of circular economy and greenhouse gas emissions, recently raised by the French government. Companies are currently facing two antagonist objectives. On the one hand, they must ensure a local economic development that creates wealth; on the other hand, they must satisfy environmental constraints related to their production. In this challenging context, one of their major issues is to minimize the consumption and waste of raw materials while limiting the use of non-renewable energies.

Meanwhile, new communicating technologies could provide necessary traceability information about end-of-life products, their state and the state of their components. This information can help organizing and optimizing remanufacturing and disassembly processes. The process of valuing end-of-life products could be economically viable, and therefore valuable from an industrial point of view.

In the light of the above background, this thesis focuses on the use and advantage taking of new communicating technologies in remanufacturing and disassembly systems. The goal is to develop new models and original solution methods for planning remanufacturing and disassembly systems that exploit this new procured information, while satisfying both resource and environmental constraints. The proposed news approaches will be defined and tested with industrial partners.

Candidate profile: 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.

Location: The PhD student will be located in Gardanne (south of France, near Aix-en-Provence) in the research group Manufacturing Sciences and Logistics of the Georges Charpak Provence Campus of the Ecole des Mines de Saint-Etienne.

Duration and assumption of duty: The position is for three years starting September 1, 2017 (exact date is negotiable).

Application procedure: Please send your application electronically (preferably as a single pdf file) including a detailed curriculum vitae and examination results, plus, if available, a list of reference letters and copies of diploma, to: Nabil ABSI ( or Valeria BORODIN, ( The position will remain open until fulfilled.

For further questions regarding the position or details on the research project, please contact Nabil ABSI or Valeria BORODIN.

Ecole de Mines de Saint-Etienne France Go Academia
30 May 2017 PhD positions in optimisation of semiconductor manufacturing

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Two PhD positions (one industrial and one more academic within a European project) are available at the Ecole des Mines de Saint-Etienne (Gardanne, France) on semiconductor manufacturing related problems within
projects in cooperation with STMicroelectronics (in Rousset and in Crolles), one of the worldwide leaders, and other partners.

The two topics are summarized below.
1. Industrial PhD thesis (CIFRE) With STMicroelectronics in Crolles (France, 38).
Title : "Robust Management of Product Qualifications in Industry 4.0"
Short abstract: The objective of the thesis is to develop methodologies and decision-support tools to deal with the low visibility and high variability of product demands. The configuration of the machines in the various production workshops is now managed according to a short-term load plan. Nevertheless, recent events (sudden and unexpected peaks) have clearly demonstrated the need to develop a consistent approach for the qualification of machines. This thesis aims at developing a static approach proposed by the EMSE, integrating the anticipation and robustness aspects of demand forecasting. A method and a tool should be proposed for the management of qualifications in all the workshops of Crolles300.

The PhD thesis should include robust and stochastic discrete optimization.
2. PhD thesis within the European PRODUCTIVE 4.0 in Gardanne (France, 13).
Title: "Novel optimization approaches for global fab scheduling"
Short abstract: The fabrication of semiconductor devices is probably the industrial process with the most complex process flows from wafer fabrication through test and then assembly. To optimize the agility of semiconductor manufacturing facilities and move toward “Industry 4.0”, new approaches should be developed and implemented. Within the European project PRODUCTIVE 4.0, the objective of this thesis on "Global fab scheduling" is to develop an approach using analytical and simulation models to ensure consistency between fab production control and scheduling at workshop level. The notion of of “yield criticality” at product/step level will be integrated together with equipment health, performance or risk criteria. A global factory simulation model including models at lower (tool and workshop) levels will be studied. Varying mix and toolset configurations and varying WIP (Work-In-Process) management strategies will be considered and evaluated. The approach will be validated on industrial data.

This thesis will be part of a large European project with multiple industrial partners, including Infineon and STMicroelectronics. It will include large-scale optimization, in combination with a simulation model already developed but that could be extended.
The PhD theses will be conducted in cooperation with the research group "Manufacturing Sciences and Logistics" of the Center of Microelectronics in Provence (Ecole des Mines de Saint-Etienne), located in Gardanne (South-East of France, between Aix-en-Provence and Marseille).

The PhD students will be located either in the site of Crolles (close to Grenoble) of STMicroelectronics for the first topic and in Gardanne for the second topic.

The positions are for three years and can start as early as June 2017 (exact date to be discussed).

Applicants must have a Master Degree (or equivalent) in Computer Sciences, Applied Mathematics, Industrial Engineering or any related discipline. Applicants should demonstrate good programming skills and knowledge in combinatorial optimization. Experience on the development of solution methods for planning or scheduling problems or/and in simulation would be appreciated

Please send your application electronically (preferably as a single pdf file) including a detailed curriculum vitae and examination results, plus, if available, a list of reference letters and copies of diploma, to: Professor Stéphane Dauzère-Pérès,

For further questions regarding the positions or details on the research projects, please contact Stéphane Dauzère-Pérès

Ecole de Mines de Saint-Etienne France Go Academia
30 May 2017 Assistant Professor (tenure track) in algorithms and optimisation

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Tenure-track Assistant Professor in Algorithms and Optimisation
Department of Computer Science
University of Copenhagen

The position is open from 1 November 2017 or as soon as possible thereafter.

The Department of Computer Science (DIKU) is expanding its research and
educational activities and hereby invites applications for a *tenure-track
assistant professor in Algorithms and Optimisation*. The tenure-track
assistant professor will join the department’s Algorithms and Programming
Languages Section ( The
section’s research is concerned with a wide range of areas related to
algorithms, programming languages and systems. In the area of algorithms,
our research covers discrete optimization algorithms and theoretical
aspects of algorithms and data structures.

The candidate must have a strong background in at least one of the
following two sub-fields:

- Applications of discrete (optimization) algorithms and data structures
to problems in for example bioinformatics, network design, logistics.
Candidates with publications at top bioinformatics, operations research
conferences and journals will be preferred.
- Theoretical aspects of algorithms and data structures. Candidates with
publications at top algorithms/theory conferences such as STOC, FOCS, SODA,
ICALP will be preferred.Read more about the Department at

Please find the full job advertisement at

Only electronic applications are accepted.

University of Copenhagen Denmark Go Academia
29 May 2017 Pre/post-doc position in Mixed Integer Nonlinear Programming

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Cari Colleghi,

desidero segnalare la pubblicazione di un bando (scadenza 29.05.2017) per un assegno di ricerca (durata totale 17 mesi) presso il dipartimento di Matematica dell'Università di Padova:

Bando n. 6/2017
Titolo: "Mixed Integer Nonlinear Programming: Relaxation and Constraint Enforcement"

Gli interessati possono contattarmi al seguente indirizzo:

University of Padova Italy Go Academia
17 May 2017 PostDoc position in optimization of an advanced manufacturing system

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The Operations Research Group of the University of Milan (Italy),
opens one PostDoc position on the modelling and optimization of an advanced
manufacturing system for the production of architectural windows and doors.

This position is supported by a grant issued by Regione Lombardia
and its aim is technology transfer to the industrial partner of the project.

The appointment is for 18 months, with a gross salary of 20.800 EUR per
roughly corresponding to 1.500 EUR per month.

The ideal candidate should hold at least a Master's Degree (preferably,
a Ph.D.)
in Computer Science, Engineering, Mathematics or Physics and a good
in the development of mathematical programming models, in the C/C++
of exact and heuristic algorithms and in the use of general-purpose
for optimization.

The call for applications, in Italian, can be found at:
An English translation is available on request.

The closing date for applications is the 17th May 2017.

For any question, and in particular to prepare a possible application,
please contact:

Prof. Roberto Cordone

University of Milan Italy Go Academia
15 May 2017 Postdoc position in approximation algorithms

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The Algorithms and Complexity Group of IDSIA, University of Lugano
(Switzerland), opens one PostDoc position in approximation algorithms.
This position is supported by the
Swiss National Foundation Grant "Approximation Algorithms for Network Problems".

The appointment is for one year, with tentative starting date on 1st
November 2017.
The gross salary is roughly 80.000 CHF per year (low taxes, around 15%).
There are no teaching duties and there is generous travel support.
The ideal candidate should hold (or be close to obtaining) a Ph.D. in
Computer Science, and should have a solid
publication record in the area of algorithms and complexity (possibly
in approximation algorithms). Top conferences in this area include

Team members will have the opportunity to cooperate with the
Algorithms and Complexity group at IDSIA, which currently counts 7
researchers. The current research interests of the group include:
- network design;
- resource allocation and scheduling problems;
- geometric packing problems;
- "fast" approximation algorithms.

IDSIA offers an international working environment. Lugano is a tidy
and lively town, with a wonderful view on Ceresio lake and mountains
around. Ticino Canton offers many opportunities for hiking, biking,
skiing, etc. Local restaurants serve very good (Italian style!) food.

Further details about the project can be found at:

The interested candidates should email
- a detailed CV, including a list of publications and 2-3 references, and
- a short summary of past and current research interests

Applications should be sent as soon as possible, and in any case no
later than May 15th, 2017.
For any question, do not hesitate to contact:

Prof. Fabrizio Grandoni

University of Lugano Switzerland Go Academia
15 May 2017 Assistant Professor positions in Data Science and AI

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The Department of Data Science and Knowledge Engineering (DKE) at Maastricht University invites applications for five full-time assistant professor positions in the following fields: Cybersecurity, Deep Learning, Advanced Statistics, Data Visualization, Image Processing.
Applications received by May 15th, 2017 will receive full consideration. The positions will remain open until filled. Applicants may be called in for an interview.
It is intended to fill these positons as soon as possible.
For more information on these positions:
For more information on the department:

Maastricht University Netherlands Go Academia
12 May 2017 PhD position in Operational Research

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PhD Thesis opportunity at Le Havre Normandy University.

Title: Optimization problems in temporal networks
Supervisors: Yoann Pigne, Eric Sanlaville
Keywords: graphs, optimization algorithms, temporal networks, dynamic graphs
Funding source: Public funds (French Ministry of Education and Research)
Deadline: Friday 12th of Mai, 2017

A temporal network, also called dynamic graph, is a graph defined on a time interval, where arcs (resp. vertices) might not be present at any time, but only occasionally [1]. Temporal networks allow to represent nodes and arcs presence variability in ad hoc mobile networks or social networks, as well as transportation networks submitted to traffic congestion. Hence they are a very interesting model for communication and logistic problems. [2], [3].

Our goal is to study some classical optimization problems on graphs within this new framework. Moreover, as the formalism for these networks is not completely fixed in the literature, a part of the work will consist in proposing the best adapted one for the tackled problems [4]. Determining for instance flows, particular structures like connected components valid during the considered time interval, will be considered. Several solving approaches like meta-heuristics, mathematical programming, approximation algorithms, will be exploited according to the treated problem natures.

The thesis subject fits well the research themes of the RIIC team (Interaction Networks and Collective Intelligence) of the computer science research department LITIS. Indeed, dynamic graphs are the backbone of the team work. The in-depth analysis of optimization methods in temporal networks will find immediate applications in the applied research funded projects of the team (logistics [3],[6], mobile networks [7], load balancing [8]). Indeed, temporal networks allow to model and control the evolution with time of this kind of physical networks.

The RI2C team develops a software platform to manipulate dynamic graphs, GraphStream [9], [10], this work will enrich the software by the way of a new model to represent and analyse dynamic graphs.

Work plan:
* Analysis of the temporal networks models from the literature.
* Extension of optimization problems to temporal networks
* Design, analysis of solving algorithms for these problems
* Implementation of the algorithms and models within GraphStream
* Scientific valorization
* Thesis writing

The chosen candidate shall display strong skills in graph theory and optimization. An excellent technical level in software development is expected (particularly in Java). The Software engineering basis techniquesmust be mastered and used (test oriented development, version management). He/She will organize his/her work and be able to respect the fixed due dates. Skills in statistic analysis and the knowledge of R language would be appreciated.

Interested candidates should send by mail CV, motivation letter and any additional material (master marks, training reports, recommendation letters,GitHub profile,...) to Eric Sanlaville ( and Yoann Pigné (

[1] P. Holme et J. Saramäki, « Temporal networks », /Physics Reports/, vol. 519, no 3, p. 97-125, oct. 2012.
[2] B. B. Xuan, A. Ferreira, et A. Jarry, « Evolving graphs and least cost journeys in dynamic networks », présenté à /WiOpt’03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks/, 2003, 10 pages.
[3] F. Guinand et Y. Pigné, « Time considerations for the study of complex maritime networks », in /Maritime Networks Spatial structures and time dynamics/, César Ducruet, Routledge, 2015, p. 163-189.
[4] D. Kempe, J. Kleinberg, et A. Kumar, « Connectivity and Inference Problems for Temporal Networks », in /Proceedings of the Thirty-second Annual ACM Symposium on Theory of Computing/, New York, NY, USA, 2000, p. 504–513.
[5] O. Michail, « An Introduction to Temporal Graphs: An Algorithmic Perspective », /Internet Mathematics/, vol. 12, no 4, p. 239-280, juill. 2016.
[6] S. Balev, S. Michel, E. Sanlaville, et X. Schepler, « Global planning in a multi-terminal and multi-modal maritime container port », /Transportation Research Part E/, accepté, déc. 2016.
[7] A. Casteigts, S. Chaumette, F. Guinand, et Y. Pigné, « Distributed maintenance of anytime available spanning trees in dynamic networks », in /International Conference on Ad-Hoc Networks and Wireless/, 2013, p. 99–110.
[8] J. L. J. Laredo, F. Guinand, D. Olivier, et P. Bouvry, « Load Balancing at the Edge of Chaos: How Self-Organized Criticality Can Lead to Energy-Efficient Computing », /IEEE Transactions on Parallel and Distributed Systems/, 2016.
[9] A. Dutot, F. Guinand, D. Olivier, et Y. Pigné, « Graphstream: A tool for bridging the gap between complex systems and dynamic graphs », in /Emergent Properties in Natural and Artificial Complex Systems. Satellite Conference within the 4th European Conference on Complex Systems (ECCS’2007)/, 2007.
[10] « GraphStream - A Dynamic Graph Library ». [En ligne]. Disponible sur: [Consulté le: 06-févr-2017].

Le Havre Normandy University France Go Academia
11 May 2017 Assistant Professor position in Computer Science / Structural Combinatorics

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Applications are invited for a 3-year position as Assistant Professor in Computer Science with specialization in Structural Combinatorics at the Department of Applied Mathematics (KAM), Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, with the possibility of renewal and shift to tenure track.

Candidates should have a PhD in Mathematics, Computer Science or Operations Research, and demonstrate strong potential for excellence in research.

The successful candidate will be expected to conduct research related to structural combinatorics, graph theory, design and analysis of algorithms.

The successful applicant will teach in English and within three years also in Czech, topics mainly from discrete mathematics and computer science. Good knowledge of Czech is advantageous but not necessary.

Desirable are a previous postdoc in combinatorics and strong background in graph theory and computer science.

Signed application in digital form, accompanied by a motivation letter, curriculum vitae, proof of education, list of publications, and a description of pedagogical experience should be sent to the Department of human resources
by May 11, 2017. The candidates should also arrange for two recommendation letters to be sent electronically to
Martin Loebl (head of KAM)
Selected candidates will be invited for interview in May.

Charles University of Prague Czech Republic Go Academia
10 May 2017 Postdoc position in the mathematics of constraint satisfaction

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Postdoc position on mathematics of constraint satisfaction in Dresden

A postdoc position will be available at the Institute of Algebra of TU Dresden,
supported by the ERC Consolidator Grant "CSP-Infinity" held by Manuel Bodirsky.
The goal of the project is to systematically study the computational complexity of CSPs for constraint languages over infinite domains.
Requirements for the candidate are a strong background in universal algebra, model theory, or theoretical computer science.
German skills are not required, and there are no teaching obligations.

The position is offered for three years; the starting date is flexible.
The monthly gross salary is around 3500 Euros,
and there will be generous travel support.
Applications should be sent in electronic form, including
a CV, publication list, motivation letter, and a copy or summary of the PhD thesis
(if not finished, a preliminary version),
to Informal inquires by email are welcome.

For full consideration please apply before May 10.

TU Dresden Germany Go Academia
01 May 2017 Postdoc position in algorithmic game theory

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A Postdoctoral Research Fellow position in the area of the algorithmic
game theory
is available for three years. The start date can be negotiated for the
right candidate.

The position is in connection with an EPSRC research grant of Dr Marcin
Jurdzinski and Dr Ranko Lazic on solving parity games in theory and
practice. Parity games are an intriguing problem class, because they are
simple to state and have proven to be resistant to countless attempts to
classify their complexity. At the same time, algorithms for solving parity
games play a paramount role in model checking, satisfiability checking, and
synthesis. The main objective of the post is to pursue cutting-edge
research on algorithms and solvers for parity games, as well as mean
payoff, discounted payoff, and simple stochastic games.

You will have a strong background in theoretical computer science, with a
specialisation in algorithmic game theory, automata theory or model
checking. You will have (or expect to obtain shortly) a PhD in the relevant
area. You should provide with your application form a CV, including a list
of publications, a research statement, and a short statement highlighting
your suitability for this post.

You will be formally based in the Department of Computer Science at the
University of Warwick, and you will be associated with the Centre for
Discrete Mathematics and its Applications and the Division of Theory and
Foundations at the University of Warwick. The project will be collaborative
with Dr Sven Schewe, Dr John Fearnley and Dr Dominik Wojtczak at the
University of Liverpool.

The closing date for applying is 1 May 2017. Please see the full
advertisement at:

University of Warwick United Kingdom Go Academia
30 Apr 2017 Faculty positions in AI, Data Analytics, and others

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Nestled in the foothills of Aravalli Range, the picturesque NIIT University is located in Neemrana in Rajasthan, India which is approximately 100 kms from the New Delhi Airport. The 100 acres green campus is equipped with state-of-the-art technology enabled teaching methodology backed by a strong research focused curriculum for facilitating a continuous process of learning and development.

The University invites applications for faculty positions in Computer Science and Engineering. Candidates in all areas of Computer Science and Engineering may apply but those with specialization in the areas of Artificial Intelligence, Networking, Databases, Distributed Systems, High Performance Computing, Cloud Computing, Information Security and Data Analytics will be given preference. Positions remain open until filled.

Candidates must have earned (or expect shortly) a Ph.D for Assistant Professor, Ph.D with 6 years of experience for Associate Professor, Ph.D with 10 years of experience for Professor in the above disciplines. Candidates must have a good publication record; proven ability to establish an independent research program; demonstrate flair for innovation; be open to participate in developing new interdisciplinary programs of study; have the commitment to excel both in research and teaching and establish strong linkages with industry. Industry experience and/or post-doctoral experience will be considered an asset.

The University provides an intellectual environment and is committed to academic excellence. The four core principles of NIIT University, namely, Industry-linked, Research-driven, Technology-based, and Seamless define the DNA of the University. For more information, please visit the university website

NIIT University offers a competitive compensation at par with the best academic institutions in India. In addition, NU provides a start up research grant at the time of joining, travel support for presenting papers in reputed International Conferences and Workshops. NU provides research incentives, such as monetary award for refereed Journal publications. In line with the Industry-linked as a core principle, the university will enable faculty to consult with industry in India and abroad.

Interested applicants who are keen to re-locate to India are invited to submit their curriculum vitae including employment history, a statement outlining research and teaching interests, list of consultancies and projects undertaken and names of at least three referees.

Applications may be sent electronically in PDF format to HR Manager, or the Area Director,

NIIT University India Go Academia
30 Apr 2017 PhD Positions in Operational Research and Management Science

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Applications are invited for two fully-funded PhD positions in the Mathematical Sciences (Operational Research Group) and Business School (Management Sciences Group) at the University of Southampton, awarded on the basis of academic excellence to new students who will commence a research programme in Oct 2017. We are looking for applicants interested in the interface of Operational Research and Cooperative Game Theory. Knowledge on Algebraic geometry, numerical computation would be very desirable.

Please send any questions to Dr Tri-Dung Nguyen ( Successful candidates will work with Dr Nguyen: (and to be co-supervised by another member from Mathematical Sciences or Business School, and possibly by Professor Shmuel Onn from Technion if the project involves computational algebraic geometry:

The studentships include a fee waiver to cover fees at the UK/EU rate, a stipend (currently £14,300 per annum), and £750 per annum travel and conference grant for three years (further support for conferences might be available from other sources). The scholarships are available to students starting their studies in Oct 2017. Home, EU and International students are eligible.

Scholarships will be awarded on a competitive basis. Applicants should have a good degree (equivalent to a UK first-class honours or 2:1 degree) in Operational Research or a related discipline. Applicants should also meet English language requirements (IELTS 6.5 with no subscore lower than 5.5, or equivalent).

Applicants should prepare the following documents: (1) a brief covering letter that describes your reasons for wishing to pursue a PhD in the proposed area; (2) a copy of your CV, including your actual or expected degree class(es), and results of all University examinations; and (3) two academic references. These documents should be sent to Dr Tri-Dung Nguyen ( who will then provide direction for the formal application submission.

More details about the Operational Research Group and the Management Sciences Group at the University of Southampton can be found at:

University of Southampton United Kingdom Go Academia
30 Apr 2017 Postdoc positions in enumeration algorithms

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We currently invite applications for two postdoc positions at University Clermont Auvergne (Clermont-Ferrand, France).

Job description
We are looking for candidates interested in working on enumeration algorithms, particularly the output-sensitive point of view. Enumeration algorithms are central in several areas, e.g., databases, graph algorithms, bio-informatics, chemo-informatics, artificial intelligence. A PhD in (theoretical) computer science, operations research, mathematics, bio-informatics or related fields is requested (experiences in (hyper)graph algorithms and/or algorithms in lattice theory are particularly appreciate). There is no teaching duty and no obligation to speak french.

Examples of interested topics are for instance those considered during the workshop WEPA The post-docs are funded by the french ANR project GraphEN
The terms and conditions of employment are in accordance with the policy of the Université Clermont-Auvergne. The net salary is around 2k euros, including insurance. Both positions are 1 year positions with a possible extension if funding permits.
The successful candidates will be members of LIMOS laboratory Clermont-Ferrand is an enjoyable old city situated next to Lyon and is surrounded by mountains (Massif Central).

The position is available from September 2017 (however the starting date is flexible, i.e., it can start before or after, but not after than October, 2017). The application procedure remains open until the position is filled. Applications will be reviewed on a regular basis.
All applications should include a detailed resume, a motivation letter and contact details of at least three references who can provide recommendation letters upon request.
Please submit your queries/application via email at: {mamadou.kante,lhouari.nourine}

University of Clermond Auvergne France Go Academia
30 Apr 2017 PhD Position on adaptive routing of connected vehicles

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The SARA team of LAAS-CNRS (, Toulouse, France, is inviting applications for an open Ph.D. position.

*Title*: Real-Time Adaptive Routing of Connected Vehicles

*Description*: Connected vehicle technologies will enable safe, interoperable, networked wireless communications among vehicles, the infrastructure, and passengers’ personal communications devices. They will enable a broad range of new online services for making road traffic safer, smarter and greener. In particular, these technologies will provide a connected, data-rich travel environment based on information collected in realtime from thousands of vehicles. One such example on an enhanced driving experience is realtime travel time information on roads segments. The collection of this information will enable the service provider to give advance warning to drivers of the state of congestion on the roads, and suggest alternative routes to them.

The goal of this thesis is to design new traffic management schemes that will use the real-time collected data to suggest shorter alternate routes to drivers in order to reduce their journey times. Solutions based on Machine Learning techniques that take into account previous behaviour of drivers will be explored. In addition, any new technology for such services will be adopted only progressively by users. Some of the questions that arise in this context are : what is the proportion of drivers that need to adopt this technology in order to benefit a large fraction of drivers? How should drivers react if they get conflicting suggestions from two different service providers. These question shall be investigated within the framework of game theory and distributed algorithms.

*Key words*: adaptive routing, game theory, connected vehicles

*Desired profile of candidate*: The candidate has (or is in the final year) of an engineering degree or a master's degree in Computer Science, Mathematics, or related areas. She/he has an inclination towards mathematical analysis, and will have strong skills in programming languages (C/C++/Java).

*Work conditions*: The position is funded by a CIFRE (Industrial) contract on connected vehicles between LAAS-CNRS and Continental Digital Services France (CDSF). The fellow will be employed on a fixed-term contract of three years by CDSF, and will spend a part of their time at LAAS-CNRS. The monthly salary will be negotiated with CDSF based on the experience and qualifications of the fellow.

*Expected starting date*: 01 October, 2017.

Application material should include a CV, a letter of motivation, and names and contact details of two referees should be uploaded via

*Contacts for queries*: Olivier BRUN (,, and Balakrishna PRABHU (, ).

LAAS France Go Academia
30 Apr 2017 Open positions in Machine Learning, Optimization, Data Mining, Computational Economics

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Yahoo Research is growing its strategic research teams to enable the company to build new products and platforms that our customers need, now and in the future. We have exciting job openings in several technical focus areas that are located in our New York City office located one block from Times Square.

We hire the best scientific minds who like to roll up their sleeves, make new discoveries and contribute to the success of the business. We are looking for Research Scientists with a PhD degree in Computer Science, Industrial or Electrical Engineering or Mathematical Optimization. Our scientists specialize in designing and building scalable and reliable distributed and parallel systems that serve all the aspects of big data like data mining, optimization, machine learning, computational economics and analytics. Our group recently grew in all the above disciplines and we continue our expansion.

We design innovative algorithms to push the capacity, performance and reliability of our platforms, exploit novel hardware and software architectures, and evaluate the impact in Web-scale production settings. We actively contribute to the scientific and open source communities in foundations of Computer Science, Machine Learning, Mathematical Optimizationand Computational Economics.

Here are some reasons to explore this opportunity:

1. We have a huge number of research problems to solve that lie on the intersection of Optimization, Machine Learning and ComputationalEconomics. If you are an expert in one of these fields and want to expand your research profile this is an ideal place for you.

2. We work on game changing products and solutions, you can quickly see how your research ideas and algorithms influence revenue and user engagement. The selection of our projects is unparalleled and we have amazing relationships with the product groups.

3. We care about you continuing your fundamental research, publishing papers and keeping track of the latest technologies developed in your respective field.

Responsibilities Include:

· Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture.
· Work closely with colleagues on the engineering team to put research results into action.
· Provide thought leadership to guide the direction of Yahoo products and services.
· Push your own research agenda and look to influence our products and services with your expertise.

Required Skills and Qualifications

· PhD inComputer Science, Industrial or Electrical Engineering or Mathematical Optimization.
· Strong research track record (academic or industrial) in one of the following areas: Mathematical Optimization and Algorithm Design, Data Analytics, Machine Learning, ComputationalEconomics (auctions, pricing, mechanism design) or related areas.
· Strong design and implementation skills inJava or C++. Experience with large-scale production code development is a plus.
· Ability to conduct research that is justified and guided by business opportunities.
· Strong communication and presentation skills.

Please send your CV and a short letter of interest to Maxim Sviridenko (sviri at yahoo-inc dot com).

Yahoo Research United States Go Industry