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Two positions open at the Lecturer/Senior Lecturer level (equivalent to Assistant/Associate Professor) into the Operations Research group within the Department of Management Science at the Management School of Lancaster University

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We currently invite applications for a postdoc position in Sustainable Urban Transportation Planning at Concordia University - CIRRELT (Montreal, Canada).

Supervisor
Ivan Contreras and Gilbert Laporte

Program description
Urban transportation concerns the movement of both freight and people in urban areas and involves different stakeholders. The considerable urban population growth over the last decades, together with the rise of e-commerce, and the increased attention to sustainability poses important challenges for the planning of urban transportation systems, particularly in the freight transport sector. The main goal of this research proposal is to study strategic optimization models in urban freight transportation that integrate facility location, capacity planning, fleet composition, and vehicle routing decisions. In particular, it will focus on the design of two-level urban freight transportation networks involving urban consolidation centers and cross-dock satellites. Mathematical models will be developed to analyze the impact of location, capacity selection, link activation, and routing decisions on pollution when these are taken into account in the design of urban freight transportation networks. Approximate and exact solution algorithms will also be developed to efficiently solve these problems.

Academic qualifications required
Phd in Operations Research, Industrial Engineering, Transportation, or related fields with experience in mathematical modeling and in the development of decomposition methods for large-scale optimization.
Advanced knowledge in commercial optimization solvers (CPLEX or GUROBI) and programming skills in C/C++ or Java are required.
Knowledge in urban transportation planning is desirable.

Eligibility requirements
Applicants must not currently hold a postdoctoral appointment at Concordia
Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
Applicants must adhere to the postdoctoral fellow eligibility criteria outlined in Concordia University’s Postdoctoral Policy

Timeline and application process
Application deadline: open until the position is filled but no later than April 1, 2017
Fellowship start date: no later than July 1, 2017
Submission process: all documents must be submitted to Cynthia Raso
Please include the reference number with your application

Application checklist
One to three (1-3) page research statement demonstrating fit with the program described above.
Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages).
Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Cynthia Raso

Reference number
2000

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A teaching and research position (tenure-track Assistant/Associate
Professor level) is offered in Computer Science at University Paris
Dauphine.
Research will take place at LAMSADE (http://www.lamsade.dauphine.fr) within
the “Combinatorial Optimization and Algorithmics” research group.
The research activities of the group are related to the following research
topics:
Algorithms with a performance guarantee (exact and parameterized solution
of NP-hard problems, approximation, algorithmic games),
Mathematical programming and discrete structures (linear and integer
programming, polyhedral approaches, robustness, optimization in graphs.
The research of the candidate should be strongly connected to at least one
of these axes.
Except from application’s quality that will be main priority of the
selection committee, research profiles lying in the intersection of the
research interests of the group will be greatly appreciated.
Teaching will take place within several Departments of the University,
mainly within the Department of Mathematics and Computer Science (MIDO).

Contacts:
Denis Cornaz (cornaz@lamsade.dauphine.fr)
Ridha Mahjoub (mahjoub@lamsade.dauphine.fr)
Vangelis Paschos (paschos@lamsade.dauphine.fr)

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The Department of Management Engineering at the Technical University of Denmark invites applications for a position as postdoc in the area of Business Analytics and Operations Research. The position is time-limited to two years.

The position will be part of the division of Management Science at DTU’s Management Engineering Department. The division of Management Science (MS) is the largest MS division in Denmark. It is recognised internationally as one of the leading MS divisions in Scandinavia and includes Operations Research (OR), Implementation and Performance Management (IPM), and Operations Management (OM). The OR group, in which the position is available, focuses on OR approaches and covers all phases of the OR cycle: From problem analysis over model building to the development of new solutions methods and interpretation of the results. Typical application areas in OR at DTU are health care, maritime, public transport and transportation planning, financial engineering, manpower planning, and energy.

Responsibilities and tasks
The postdoc is expected to conduct research in the intersection of finance and mathematical modeling as part of the Operations Research discipline at a high international level. Within Financial Engineering potential areas of particular interest to the Operations Research group are areas like yield management, asset allocation, asset liability management, stochastic programming etc. Dissemination of research results is expected through scientific publications in leading peer-reviewed journals, interdisciplinary collaborative projects at national and international level as well as through collaboration with organizations and industry. Experience with another data science area beyond Operations Research (like eg. machine learning) is an advantage.

The postdoc will have some minor teaching obligations in relations to teaching in the Operations Research group with a focus on Financial Engineering. Supervision of BSc and MSc projects will also be part of the employment.

The Department of Management Engineering values a combination of theory development and a focus on real-life applications. An example could be applications from the energy industry such as asset allocation in power markets or optimization of revenue in a fenceless fare structure from the airline industry. The Department is team-oriented.

The postdoc is expected to take interest in taking an advantage of the possibilities of developing collaboration with related groups both internally at the Department and externally with other departments at the university as well as national and international Networks.

Qualifications
Candidates should have a PhD degree (or equivalent). In addition, candidates are expected to have:
An interest in teaching and project supervision
Demonstrated ability and desire to publish in international high-impact ISI journals
Critical analytical and problem-solving skills including the ability to program
Strong ability to work effectively within and across groups
Fluency in English, both spoken and written

Assessment
In the assessment of the candidates, consideration will be given to
Documentation of didactic/pedagogic training.
Scientific production and research potential at an international level within OR.
The ability to promote and utilize research results.
An all-round academic experience basis.
The ability to contribute to the development of internal and external cooperation.

We offer
DTU offers an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. DTU is a leading technical university in northern Europe and benchmarks with the best universities in the world.

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

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

Application procedure
Please submit your online application no later than 30 March 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
Application (cover letter)
CV
Diploma (MSc/PhD)
List of publications indicating scientific highlights
H-index, and ORCID (see e.g. http://orcid.org/)
Documentation of teaching experience (e.g. in the form of a teaching portfolio)

Applications and enclosures received after the deadline will not be considered.

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

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A research and teaching position at the level of assistant professor (French: maître de conférences) in Theoretical Computer Science is available in the Aix-Marseille University in the south of France. This is a full time and permanent faculty position. Teaching is in the French language so the candidate should be able to communicate and teach in French. The preferred research profile is in the area of Distributed algorithms (see details below).

Interested candidates are expected to contact members of the appropriate research group before making a formal application.
Application deadline: 30 March 2017.

Additional information about the position (in French) is available at the link below and on the online application portal (GALAXIE) used for all university positions in France.

Full Profile Information:
The recruited associate professor will join one of the 7 research groups of the Theoretical Computer Science Laboratory (LIF). There is a priority for the DALGO (Distributed Algorithms) research group.

The DALGO research group, created in January 2014, performs research on fundamental aspects of distributed computing. Understanding the functioning of distributed systems is fundamental for practical applications as well as in theoretical computer science. The members of DALGO are interested in the computational power of many models of distributed computing, as well as on the distributed complexity of solving problems in these models. The four main research topics studied by the group are: the design and the analysis of distributed algorithms; the study of mobile agent systems; the modelling and analysis of dynamic networks; sensors networks and synchronous distributed programming.

The candidate should have an expertise on additional aspects of distributed algorithms, or in some of the topics already studied by the group. He or she should have demonstrated a strong record of contributions in fundamental aspects of distributed computing.

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The University of Bristol is seeking to appoint a Lecturer or Senior
Lecturer (Assistant Professor) to the Department of Computer Science.
Candidates are sought with expertise and research interests in the
technologies and methods that underpin modern data science. With this
appointment the department seeks to expand its activity at the
intersection between data science, artificial intelligence, machine
learning and cloud computing.

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PhD position in Graph Algorithms - University of Orléans, France

The Graph, Algorithms and Models of Computation research group at the Computer Science Laboratory of Orleans (LIFO)
of University of Orléans, France, has the financial support for a PhD position.
The position is for three years starting October 1, 2017 (standard french PhD support).
The successful candidate will be working under the supervision of Dr Mathieu Liedloff and Professor Ioan Todinca.

The application deadline is March 22, 2017.

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RESEARCH DESCRIPTION
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The main goal of this PhD project is to design exponential-time algorithms to solve NP-hard graph problems.
Indeed, we cannot expect polynomial worst-case time algorithms solving exactly such problems, except if P=NP.
Thus we aim at designing and analyzing algorithms with running-time O(c^n), where n is the instance size
and c is a (suitably small) constant. An exponential running-time is also unavoidable when we want to enumerate
an exponential number of objects (e.g., subset of vertices in a graph fulfilling some properties). Other
algorithmic approaches will be studied as well during the PhD project, especially parameterized algorithms.


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SALARY AND LOCATION
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The monthly gross salary is about 1760 euros. The PhD student will be located in Orléans in
the research group GAMoC (Graphs, Algorithms and Computational Models). The city of Orléans
is situated in the Center of France, 1 hour by train from Paris.


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REQUIREMENTS
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We are looking for highly motivated Ph.D. candidates, with a strong background
in construction and analysis of algorithms. Background in algorithmic graph theory is highly desirable.
Knowledge in discrete mathematics, complexity, computability and graph theory is appreciated.
Background in moderately exponential algorithms or FPT algorithms would be an asset.

The applicants must have a Master's degree in Computer Science or related fields.
English is a required language; French may be useful in every day life, teaching, etc.


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APPLICATION
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Applications (including detailed CV, examination results from last 2 years, letter of motivation, possibly letters of recommendation) should be send
to Dr. Mathieu Liedloff (Mathieu.Liedloff@univ-orleans.fr ) and Prof. Ioan Todinca (Ioan.Todinca@univ-orleans.fr ), the supervisors of the PhD project.

The application deadline is March 22, 2017.

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CONTACT
----------------------
Mathieu Liedloff (Mathieu.Liedloff@univ-orleans.fr)
Ioan Todinca (Ioan.Todinca@univ-orleans.fr)
LIFO - Université d'Orléans

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We are looking for a strong, motivated PhD candidate with a background
in mathematics and/or computer science for a PhD scholarships in the
field of optimization of local production chains at BTU in Cottbus, Germany.


*The Project*

The GRS Cluster "Local Production by Smart Value Chains" is funded by
the BTU and involves the Helmholtz Zentrum Geesthacht. Within this
project cluster five scholars work together on current topics in the
field of production and materials engineering, one of them with
special focus on mathematical questions. From a technological point
of view, the cluster focuses on combining classic production processes
of mass production with locally acting manufacturing processes. This
combination opens the possibility for individualizing components and
for localizing production near the end customers, but also for
repairing and maintaining components with minimal cost. The
mathematical research of the cluster aims at optimizing production
steps in local production facilities. In particular, this involves the
design of fast approximation algorithms for special constrained path
and network flow problems.


*Background*

The Brandenburg University of Technology (BTU) Cottbus-Senftenberg
supports the thematic cluster “Local Production by Smart Value Chains”
as part of the BTU Graduate Research School (GRS). Successful
applicants are expected to begin their research as soon as possible
with a scholarship for three years. Cottbus is a city offering
various benefits such as inexpensive housing and cost of living as
well as close vicinity to Berlin, Dresden and the recreation and lake
district area "Spreewald". The basic scholarship is 1400 Euros per
month. The GRS will also offer additional support for doctoral
students with children. Scholarship holders will have access to
additional funding of the GRS for their doctoral research
(e.g. mobility grants etc.).


*Requirements*

You have obtained a university degree (Master’s or equivalent) in
mathematics, techno-mathematics or computer science (with strong
background in mathematics or operations research) with very good
success. You have strong basic knowledge in discrete optimization and
strive to further develop your expertise towards a PhD degree. You
are communicative and a team player. You are fluent in English, both
written and spoken, and preferably have at least basic knowledge of
the German language.


Working language: German or English


Required documents:
− CV
− Certificates and transcripts
− Letter of motivation


*How to apply?*

Please send your application (preferably via email in a single PDF
document) by March 20, 2017 to: ekkehard.koehler@b-tu.de

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Postdoctoral Position in Algorithms
TU Munich

A postdoctoral position in the area of efficient algorithms is available in
the research group of Prof. Susanne Albers, Department of Computer Science,
Technical University of Munich (TU Munich).

The position will be funded by an ERC Advanced Grant. Hence a research interest
in approximation and online algorithms, algorithmic game theory or algorithm
engineering is very welcome. More information about Susanne Albers and
the research group can be found at http://wwwalbers.in.tum.de/index.html.en

The position provides a competitive 12 month salary with standard benefits. The
initial appointment is for a period of one or two years, depending on the research
profile of the candidate. An extension is possible based on the progress in research.
The expected start date of the position is summer 2017.

The successful candidate should have a PhD degree in computer science or
mathematics. Furthermore, he/she should be interested in collaborating with
PhD students. The application material should include (1) a cover letter describing
the interest in the position, (2) a CV and list of publications, (3) a short
research summary, and (4) the names and contact information of at least
two references. The material should be sent electronically to
.

Applications will be reviewed starting from March 20, 2017.

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An exciting opportunity exists for a researcher to develop bandit algorithms for personalised pricing in a collaborative research project between Lancaster University and a commercial partner. This is an opportunity to use commercial needs outwith the technology sector to inspire the next generation of bandit theory, and to gain experience of working with industry while part of the UK’s leading department for industrially-relevant statistics and operations research.

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A PhD position in optimization at the Alpen-Adria-Universitaet Klagenfurt is available. The position is within an international project funded by the Austrian Science Fund FWF and the Slovene Research Agency ARRS and deals with exact algorithms for binary quadratic problems.

Applicants must hold an MSc degree (or equivalent) in mathematics or a strongly related field at the time of hiring. The successful candidate will join the optimization group https://www.aau.at/mathematik/team/#Optimierung, a research team with wide international recognition.

The position comes with substantial travel funding.
There is no obligation to teach, but the possibility to teach (with additional payment).
Starting date is expected at latest September 1, 2017, but negotiable.

Applications including a CV, a letter of motivation, a PDF file of the master/diploma thesis and the name of one reference with her/his email-address, should be sent to

Angelika Wiegele
angelika.wiegele at aau.at
https://www.aau.at/~anwiegel

until March 15, 2017.

For further information do not hesitate to contact Angelika Wiegele.


Alpen-Adria-Universität Klagenfurt (AAU) aims to create an environment that young researchers will find beneficial and conducive to their research. Support for young researchers is available trough the Career progression for young researchers.

The AAU is the most attractive campus university in Austria. With a charming campus in leafy surroundings and modern infrastructure, it is possible to blend studying and leisure in a single location.
Moreover, AAU is a certified family friendly employer.

Klagenfurt, home to around 100,000 inhabitants, is a modern city with a high quality of living and with a Mediterranean flair. The campus is situated very close to the mountains, lakes, and the Adriatic. One can enjoy almost any kind of sports, from stand-up paddling to mountaineering, on campus or just a stone’s throw away.

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The Algorithms and Complexity Group of IDSIA (www.idsia.ch), University of Lugano (Switzerland), opens two Ph.D. positions in the area of approximation algorithms with special focus on Lift and Project methods and Sum of Squares hierarchy for combinatorial optimization. The position is supported by the SNSF Grant "Lift and project methods for machine scheduling".

The position is for 3 years, with the possibility of an extension by 1 year (subject to approval by SNSF). The gross salary is roughly 50.000 CHF per year (low taxes).

Candidates should have an excellent academic degree in mathematics, theoretical computer science or a related area.
A solid background in Algorithms, Computational Complexity, Discrete Mathematics, Probability Theory, and/or Graph Theory is
helpful. Good communication skills and solid English writing skills are necessary. In addition, the successful candidate will be highly self-motivated, passionate about her/his work, and have good ability to work both independently as well as in a team.

Team members will have the opportunity to cooperate with the Algorithms and Complexity group at IDSIA, which currently consists of 8 researchers. 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.

Any interested candidate should email a detailed CV (including a list of passed Master degree exams with marks, a list of publications, if any, and at most 3 references) to "monaldo@idsia.ch" as soon as possible and not later than 5th March 2017.

The position will be filled as soon as a strong candidate will apply.

For any question, do not hesitate to contact:
Prof. Monaldo Mastrolilli
monaldo@idsia.ch
http://people.idsia.ch/~monaldo/

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This is to announce one-year postdoc positions (with possible extensions to two years) at the faculty of mathematics, University of tabriz, Iran.(mathematic.tabrizu.ac.ir/en)

The positions are supported by the "Iranian national elites foundation" under the supervision of Prof. Afshin Behmaram.

Requirements:
* Ph.D. in Mathematics or computer science between 2014-2017
* Strong academic background in graph theory.
* Strong research record and potential on graph theory, especially matching, domination and distance in graph.

Duties:
Research in the above areas. NO teaching duties.

Duration:
12 months

Beginning:
September 2017 (flexible)

Stipend:
around $20 000 per year

Applications including a detailed CV (with e-mail address), a statement of research interests, a complete list of publications and reprints (preprints) of 2 best papers should be sent in a zipped file by e-mail to behmaram@tabrizu.ac.ir

Please arrange to have at least one letters of reference sent directly to the same e-mail address. Deadline for applications and reference letters is March
15, 2017

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The Department of Operations and Systems Management of the Portsmouth Business School has an opening for PhD student, in optimization of Multimodal Transportation Systems. We are seeking exceptionally talented and motivated students with a strong mathematical background.

Applicants will have a good first degree (minimum 2.1 or equivalent) and Masters in mathematics, transportation engineering, operations research, computer science, industrial engineering, economics, or another subject relevant to business and management. Solid records in linear optimization and familiarity with (preferably) C/C++ or Java are very essential.

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A PhD studentship in optimization of Multimodal Transportation Systems is
available at the Department of Operations and Systems Management of the
Portsmouth Business School. We are seeking exceptionally talented and
motivated students with a strong mathematical background.


Applicants will have a good first degree (minimum 2.1 or equivalent) and
Masters in mathematics, transportation engineering, operations research,
computer science, industrial engineering, economics, or another subject
relevant to business and management. Solid records in linear optimization
and familiarity with (preferably) C/C++ or Java are very essential.

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LUISS is looking for teaching assistants for various courses in mathematics, statistics, and computer science for the academic year 2017/2018. Teaching assistants are expected to teach in either English or Italian (not necessarily both), hold office hours, and assist with exams.

Whoever is interested should fill out the application form that can be found at the pages

http://www.luiss.edu/ateneo/opportunita-di-lavoro/reclutamento-docenti-contratto/aperti/785/integrativi
(Department of Economics and Finance),

http://www.luiss.edu/ateneo/opportunita-di-lavoro/reclutamento-docenti-contratto/aperti/787/integrativi
(Department of Management).

The deadline is 02 March 2017.

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Title
Optimization of smart energy networks under uncertainty

Supervisor
Dr. Ing. Emanuele Martelli, Ricercatore e Docente di Sistemi Energetici, Dipartimento di Energia, Politecnico di Milano /LEAP (Laboratorio Energia Ambiante Piacenza)
Co-supervisor
Prof. Edoardo Amaldi, Professore Ordinario di Ricerca Operativa, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano

Type of contract
1 year contract (“Assegno di Ricerca”)

Project Description
The position is co-funded by “Regione Emilia Romagna” to LEAP (Laboratorio Energia Ambiente Piacenza, a laboratory participated by Politecnico di Milano and Università Cattolica) in the framework of the Research Project entitled “Efficity”. The project objective is to to develop methods and algorithms for the optimal scheduling, operation, control and design (investment planning) of smart energy networks with high share of renewable sources (solar, wind, etc).
The project involves both academic partners (Politecnico di Milano, Università di Bologna, Università di Parma) and industrial partners. The industrial partners include leading Italian utility companies for the management of energy networks (CPL Concordia, SIRAM, ANTAS), OPTIT (a spin-off company of University of Bologna in the field of optimization and IT solutions) and a number of construction companies involved in the network “Condomini Intelligenti”.
LEAP, with the supervision of professors of Politecnico di Milano, has to coordinate the activities of the project and to develop novel tools (methods, models and algorithms) for optimizing the scheduling and design (investment planning) of smart energy networks.
In today’s state of the art approaches for optimizing smart energy networks, the scheduling and design problems are tackled with Mixed Integer Linear Programming (MILP) models and methods. Important aspects to be considered are the uncertainty associated to the forecasts of production from intermittent renewable sources (solar and wind energy) as well as the uncertainty in the forecast of heat and power demands (to be satisfied by the energy network. The main approaches to account for such uncertainty are robust optimization and stochastic programming.
The candidate will have to develop MILP models of the energy networks (LEAP researchers will provide the required knowledge on energy systems and energy networks), devise ad hoc solution/decomposition algorithms (the models and algorithms will be coded in AMPL, GAMS, Matlab or other programming language to be agreed with the supervisors), and apply the methods to case studies provided by the industrial partners.
Due to the relevance of the topics, some tasks may be performed in collaboration with international universities (e.g., ETH and EPFL) and the results of the project will be published in international journals and conference proceedings.

Expected starting date: End of February - Beginning of March with some flexibility.

Duration of the contract: 1 year, with possibility of one year extension

Required skills:
Applicants must have a relevant master degree (for example in Engineering, Mathematics, Information Technologies or Computer Science) and must have taken courses in Operations Research (Optimization).
Applicants must be familiar with Mixed Integer Programming theory and tools. In particular, applicants must have experience with mathematical modelling languages (e.g., AMPL or GAMS) as well as Matlab or other programming languages (e.g., Python, C++, etc).
Having a PhD in Operations Research or in a related field is appreciated but not required.

Interested applicants must send an email with their CV to:
emanuele.martelli@polimi.it
edoardo.amaldi@polimi.it

--- In Italian ---
Luogo di lavoro
Prevalentemente presso LEAP (Via Nino Bixio 27 C, Piacenza), con periodi presso il Dipartimento di Elettronica ed Informazione (DEIB) (campus Leonardo del Politecnico di Milano)

Note
Possibiltà di svolgere alcune attività in collaborazione e pubblicazioni internazionali con ricercatori dell’ETH, EPFL, TU Aachen, e Skolteck (Mosca).

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A PhD studentship in optimization is available at the Dept. of Management Science, University of Strathclyde Business School, Glasgow, UK, for the project topic entitled "Optimization of Offshore Renewable Energy Arrays for Minimal Life-Cycle Costs".

Funding is available to cover 3 years of tuition fees plus a tax free stipend (£14,653 for 2017-18, and projected to increase to £15,020 for 2018-19 and £15,395 for 2019-20). The studentship is open to candidates from any nationality (UK/EU/international), however, the fees will be covered at the UK/EU level.

The application deadline is 28th February 2017.

ABOUT THE PROJECT

A fundamental difficulty in developing offshore renewable energy (ORE) sites is that the uncertain environmental conditions make accurately assessing the life-cycle costs of a site a challenging problem. In particular, logistical operations throughout the life of a site are subject to uncertain operating conditions, and it is therefore difficult to plan and schedule these operations, and to estimate the resulting durations and costs. Similarly, the generating potential throughout the operation of a given site is dependent on the realised weather as well as the availability of each asset, and uncertainties in each of these make it difficult to accurately predict the profits to be gained from energy production. Decisions on aspects such as the size, layout and composition of a site are therefore difficult to accurately quantify and compare.

This project will aim to develop optimisation models to identify the best strategy for designing an ORE site. A complimentary PhD project in the Dept. of Naval Architecture, Ocean and Marine Engineering at Strathclyde will take an alternative approach to the problem, and as both projects progress in parallel, mutual developments will feed into both projects. This will provide a cross-disciplinary approach to a challenging research problem with potential industry impact.

FUNDING AND ELIGIBILITY

Funding is available to cover 3 years of tuition fees at the UK/EU level, plus a tax free stipend of £14,653 for 2017-18, and projected to increase to £15,020 for 2018-19 and £15,395 for 2019-20. The student will be given opportunities to attend a conference and/or specialized training every year.

The PhD project requires a highly numerate graduate with interests in renewable energy. Candidates should have at least a strong Honours degree or equivalent (a strong 2:1 Honours degree, or a B.Sc. degree with 3.3 GPA in a 4.0 system), or preferably a Master’s degree in a quantitative discipline such as industrial engineering, operations research, mathematics or computer science (amongst others). Experience in programming and fundamental knowledge in optimization are not essential but highly desirable. Candidates who are not native English speakers will be required to provide evidence for their English skills (such as by IELTS or similar tests that are approved by UKVI, or a degree completed in an English speaking country).

Applications are admitted until 28th February 2017, or until a suitable candidate is found thereafter.

HOW TO APPLY

Please submit your complete applications at:

http://www.strath.ac.uk/studywithus/scholarships/strathclydebusinessschoolscholarships/managementsciencescholarships/simulationandoptimisationofoffshorerenewableenergyarraysforminimallife-cyclecosts/

Candidates are expected to submit a cover letter, CV, any university degree certificates and transcripts, English test results (if applicable), two recommendation letters (or contact details of two referees, if letters are not available to them), and any other supporting documents.

More information about the department can be found here: http://www.strath.ac.uk/business/managementscience/

Informal enquiries about the project to Dr Kerem Akartunali (kerem.akartunali@strath.ac.uk) or Dr Euan Barlow (euan.barlow@strath.ac.uk).

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We are delighted to announce 5 fully funded PhD Studentships for
Home/EU students (with up to 1 available for overseas students),
covering fees plus stipend. Stipends will match standard EPSRC rates
(£14,553 for 2017-18). Studentships are for a period of 3 years and
start from 1st October 2017.

Our School has a large and thriving graduate research community. We
provide an active and stimulating environment to carry out doctoral
research and have an extensive range of specialist labs and
facilities.

All Computer Science and Electronic Engineering research areas are
included, but we are especially interested to hear from applicants for
the following topics:

* Brain Computer Interfaces and Neural Engineering
* Wireless Networks
* Optical Networks
* Cyber-Security
* Neural Networks and Deep Learning
* Computational Finance and Economic Agents
* Robotics
* Natural Language Engineering and Computational Narrative
* Bioinformatics and Computational Biology
* Optimisation

More details, including application procedure, can be found at
https://www.essex.ac.uk/csee/fees_and_scholarships/default.aspx

The deadline for applications is Feb 28, 2017.

Prospective applicants with interests in Algorithmic Game Theory and,
more generally, Computational Finance and Economic Agents and/or
Optimisation are welcome to contact myself for informal enquiries.

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Algorithm Developer Positions at Optym
*********************************

Optym is developing software solutions for the transportation and logistics industry that will automate operations and replace human decision-making by machine decision-making. Founded in 2000 by a leading researcher and academician, with its headquarter located in Gainesville, FL, and branches in four countries, Optym has over 200 highly qualified professionals worldwide.

Optym is seeking bright, motivated and ambitious individuals which will help us become a leading decision automation and optimization software provider for airlines, railroads and trucking companies worldwide. The company is fully employee-owned and offers competitive salaries and comprehensive benefits package including profit sharing and stock options. Compensation and perks offered are above industry standards, and based on candidates' capability and experience. Learn more at: www.optym.com.

Job Description:
*************
* Data analytics and business intelligence
* Building models (MIP, Network Optimization, Combinatorial Optimization, Discrete Event Simulation)
* Designing and implementing algorithms
* R&D of new upcoming techniques to bring into the company

Qualifications:
************
* Ph.D. degree in Computer Science, Industrial Engineering or Operations Research
* Background in modeling, algorithms, data structures and optimization
* Excellent programming skills
* Excellent problem-solving, analytical and communications skills

Why you should join Optym:
***********************
* Interesting and challenging projects
* Highly educated, intelligent and inspired team
* Culture of innovation and creativity
* Ability to make a big societal impact

Application Process:
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* Please email your resume for consideration to jobs.us@optym.com along with a cover letter explaining why you would be a great fit for the job and the company.

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Two Doctoral Scholarships at the Center for Advanced Studies in Management (CASiM, HHL Leipzig)

The Center for Advanced Studies in Management (CASiM), the international and interdisciplinary research center of HHL Leipzig Graduate School of Management for business administration in the 21st century invites applications for competitive doctoral scholarships. The scholarships are founded by the Friede Springer Foundation that continues supporting excellence in research at the CASiM Graduate School since 2013.

The successful candidate addresses innovative research in the fields of Management Science, Logistics, Operations Management
and/or (Algorithmic) Game Theory. Applicants hold a MSc degree (or equivalent) with a quantitative economic or managerial focus,
e.g., in Operations Research, Industrial Engineering, Business Mathematics, Economics, Management Information Science, or
in Mathematics or Computer Science with a profound knowledge in business administration. Fluency in English and excellent
programming skills as well as experience in using OR standard solvers (CPLEX or Gurobi) are of advantage.

We offer the unique opportunity to pursue a doctoral project under the guidance of internationally renowned scholars and to be part of our dynamic team.

The scholarship is open to applicants of any nationality and provides a monthly grant of € 1,750, a yearly budget for visiting international conferences as well as a waiver of the tuition fee for the doctoral program. The maximum length of the scholarship is two years.

Applications include a completed application form, CV, motivation letter, copies of certificates, a recommendation letter from a previous academic advisor, and the names and contact information of at least two additional referees. A short research proposal is welcome but not required. Please send all application material as PDF by email to and to the director of CASiM, Prof. Dr. Erwin Pesch, . The scholarships are expected to start in Spring/ Summer 2017. For further information on the application process and the application form, go to www.hhl.de/friede-springer-doctoral-scholarships.

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Optit (www.optit.net) nasce nel 2007 come spin-off accademico dell’Università di Bologna nella Ricerca Operativa, per sviluppare soluzioni (Decision Support Systems) di forecasting, data analysis, simulazione e ottimizzazione di sistemi complessi nei settori delle Energy & Utilities, Servizi, Finanza e Logistica.
Optit integra competenze modellistiche, IT e consulenziali per lo sviluppo di progetti integrati di supporto al business, erogati sotto forma di fornitura di Soluzioni, Consulenza o Software as a Service.
La presente ricerca è orientata a rinforzare il team consulenziale a supporto delle prospettive di crescita e internazionalizzazione dell’azienda.

REQUISITI RICHIESTI
Titolo di Studio:
PhD in Data Mining, Machine Learning, Advanced Analytics o simili maturato in Università Italiane o estere. In caso di esperienze lavorative rilevanti (anche in ambito accademico) possono essere presi in considerazione anche candidati con Laurea quinquennale in Ingegneria, Scienze Statistiche, Fisica, Matematica, Economia o altre discipline scientifiche con votazione superiore a 100/110 con tesi ed esami in ambiti affini all’Advanced Analytics.
Esperienza lavorativa: 0-3 anni

Mansioni previste
Analisi basi dati complesse e sviluppo di modelli e algoritmi di Machine Learning, Forecasting, etc... , comprensivo del supporto alla gestione dei progetti relativi presso clienti nazionali ed esteri,. Analisi del problema di business del cliente e strutturazione di ipotesi di soluzione di analytics sulla base delle basi dati disponibili (analisi di fattibilità e prototipazione). Strutturazione e realizzazione di strategie di Data Mining e Machine Learning. Supporto al deployment delle soluzioni Optit presso il cliente (raccolta, verifica e inserimento dati, formazione e affiancamento dei key user). Fornitura di consulenza di advanced analytics connesse alle soluzioni Optit. Supporto allo sviluppo, test e collaudo di soluzioni

Competenze richieste (obbligatorie):
Conoscenza avanzata del dominio dell’Advanced Analytics (Data Mining, Machine Learning, Operations Research) e relativi applicativi (R, Weka, ...) per la strutturazione di Strumenti a Supporto delle Decisioni. Ottime capacità analitiche. Ottime capacità relazionali. Ottima conoscenza della lingua inglese (valutata positivamente esperienza all’estero). Ottima conoscenza Posta elettronica e Pacchetto Office. Disponibilità a trasferte nazionali ed estere.

Competenze preferenziali:
Conoscenza/esperienza pregressa nei campi dell’Ambiente (rifiuti) e/o Energia e/o Logistica. Conoscenze di informatica, programmazione e basi dati

Inizio attività: da Gennaio 2017
Sede di lavoro: Bologna/Cesena

La ricerca è rivolta a candidature di entrambi i sessi (L.903/77).

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Optit (www.optit.net) nasce nel 2007 come spin-off accademico dell’Università di Bologna nella Ricerca Operativa, per sviluppare soluzioni (Decision Support Systems) di forecasting, data analysis, simulazione e ottimizzazione di sistemi complessi nei settori delle Energy & Utilities, Servizi, Finanza e Logistica. Optit integra competenze modellistiche, IT e consulenziali per lo sviluppo di progetti integrati di supporto al business, erogati sotto forma di fornitura di Soluzioni, Consulenza o Software as a Service.
La presente ricerca è orientata a rinforzare il team consulenziale a supporto delle prospettive di crescita e internazionalizzazione dell’azienda.

REQUISITI RICHIESTI
Titolo di Studio:
PhD in Operations Research maturato in Università Italiane o estere. In caso di esperienze lavorative rilevanti (anche in ambito accademico) possono essere presi in considerazione anche candidaati con Laurea quinquennale in Ingegneria, Scienze Statistiche, Fisica, Matematica, Economia o altre discipline scientifiche con votazione superiore a 100/110 con tesi ed esami in ambiti affini alla Operations Research.

Esperienza lavorativa: 0-3 anni

Mansioni previste
Analisi e sviluppo di modelli e algoritmi di Operations Research e Machine Learning, comprensivo del supporto alla gestione dei progetti relativi presso clienti nazionali ed esteri. Analisi del problema di ottimizzazione del cliente e modellazione di ipotesi di soluzione (analisi di fattibilità e prototipazione). Scrittura di modelli e/o algoritmi secondo la strategia concordata. Supporto al deployment delle soluzioni Optit presso il cliente (raccolta, verifica e inserimento dati, formazione e affiancamento dei key user). Fornitura di consulenza di ottimizzazione basata sulle soluzioni Optit. Supporto allo sviluppo, test e collaudo di soluzioni.

Competenze richieste (obbligatorie):
Conoscenza avanzata del dominio della Ricerca Operativa e degli Strumenti a Supporto delle Decisioni. Ottime capacità analitiche. Ottime capacità relazionali. Ottima conoscenza della lingua inglese (meglio se maturata in esperienze all’estero). Ottima conoscenza Posta elettronica e Pacchetto Office. Capacità di utilizzo di soluzioni informatiche e solver professionali (anche solo a livello accademico). Disponibilità a trasferte nazionali ed estere.

Competenze preferenziali:
Conoscenza/esperienza pregressa nei campi dell’Ambiente (rifiuti) e/o Energia e/o Logistica. Conoscenze di base di informatica, programmazione e basi dati.

Inizio attività: da Gennaio 2017
Sede di lavoro: Bologna o Cesena

La ricerca è rivolta a candidature di entrambi i sessi (L.903/77).

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A post-doc position in Operations research available at INRIA Lille (France) in the INOCS team : https://team.inria.fr/inocs/
Title : Revenue management in city logistics
Duration : 18 months

Do not hesitate to contact Luce Brotcorne : luce.brotcorne@inria.fr

The postdoc will work on a research project devoted to revenue management for attended home delivery service. Attended home delivery is a last-mile delivery service, where the customer must be present for the delivery. The classical delivery model utilizes couriers who serve customer requests. Each customer request consists in pickup and delivery locations (o-d pairs) associated with a tight delivery time window on which the delivery company and the customer agree. This research project aims to develop efficient pricing and revenue management methods for smoothing demand peaks and maximize the revenue for a company operating such a service. This approach will be based on an existing allocation module which determines the couriers’ schedules while minimizing the total costs. This research project is conducted within an industrial cooperation with Colisweb, a start-up based in Lille.

We look for candidates with a Ph.D. in Optimization, Operations Research with a strong track record evidenced by publications in top quality journals. A strong background in mathematical programming is required.

The successful candidate will join INOCS, a Belgian-french INRIA team, which aims to develop new models, algorithmic techniques and implementations for optimization problems with complex structure.

The position should be taken up in March 2017 or soon after.

Please include a CV and research statement with your application and arrange for two referees to send letters of recommendation to luce.brotcorne@inria.fr by the closing date.

The closing date for applications is on February 21 2017.