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A post-doc position in Operations research available at INRIA Lille (France) in the INOCS team
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.

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The new Optimization group at the University of Siegen, Germany offers two positions (Postdoc or Phd) for 3 years.

The research focus of the group which will be headed by Prof. Rob van Stee is online algorithms, approximation algorithms, and algorithmic game theory.

The positions are part-time (75%) with salary according to TV-L 13. The 3-year contract comes with the possibility of an extension. Both positions come with teaching duties (designing course material, grading assignments, supervising students).

For a postdoc we expect that the candidate has (or is very close to) a PhD in Computer Science or Mathematics and has a solid background in discrete math and algorithms.

The applicant should have knowledge and interest in at least one of the following fields:
- online algorithms
- approximation algorithms
- algorithmic game theory
- graph algorithms
- combinatorics

Please send your applications containing a CV, list of grades and the names of one or two references by email to rvs4@mcs.le.ac.uk

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Université libre de Bruxelles (ULB) in Brussels (Belgium) announces two Postdoc positions within the ERC project FOREFRONT (Frontiers of Extended Formulations) of Prof. Samuel Fiorini. Each position can be extended by one extra year. Strong candidates with interests in Combinatorial optimization (theoretical and/or computational aspects) and/or Complexity theory (communication complexity, inapproximability) are encouraged to apply.

See http://homepages.ulb.ac.be/~sfiorini/ERC.html for more information about the project and the way to apply.

Both positions are expected to start in Fall 2017. E-mail enquiries about the positions are welcome.

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The School of Mathematical Sciences at Queen Mary, University of London is advertising a Lectureship or Senior Lectureship in Optimisation/Operational Research

"Applications are invited for a Lectureship or Senior Lectureship in Optimisation/Operational Research. We are seeking to appoint an outstanding candidate with a track record of applying rigorous research methods to address real-world problems. He or she will be expected to develop a research platform and interact with one or more of the existing research groups in the School of Mathematical Sciences, as well as the newly established Operational Research Group in the School of Electronic Engineering and Computer Science."

The deadline for applications is 5th February 2017, and interviews are expected to be held on 7th March 2017.

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We have just posted an advert for a postdoc position in ”Network Optimization and Energy Applications"

We seek someone with a background in OR/network optimization, that can code, could develop a heuristic or other efficient solutions for network problems, and has a background or interest in energy application such as CO2 capture and storage (CCS). The chosen candidate would be involved in several exciting projects including applications in both in the United States and China. Los Alamos National laboratory (LANL) is a great place to work, the salary is competitive, and New Mexico is a special place to live.

Please feel free to contact me (rsm@lanl.gov) regarding any enquirers.

Sincerely,
Richard Middleton

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The School of Informatics at the University of Edinburgh seeks to appoint multiple permanent faculty positions in Algorithms and Complexity at all levels over the coming year.

Posts are available as Lecturer (~equivalent to Assistant Professor), Reader (~equivalent to Associate Professor), and Chair (Full Professor).

We are eager to attract applicants from a variety of specialisms within algorithms and complexity, including (but not limited to): algorithms for large data sets, algorithmic game theory and the interface of algorithms with economics, complexity theory, algorithmic learning theory, randomized algorithms, approximation algorithms, algorithmic foundations of data privacy, online algorithms, and algorithmic aspects of security and cryptography, and quantum algorithms/complexity.

The application deadline for these posts is ** January 31st, 2017 **.

The School of Informatics is one of the top ranked computer science departments in Europe, with over 100 faculty members. The School is housed in the modern Informatics Forum building, located in the center of Edinburgh.

Edinburgh, the capital city of Scotland, is a UNESCO world heritage city, and has been consistently voted one of the most livable cities in the UK.

More information regarding these positions, their application procedure, and a link to their online application form (click "Apply" at the bottom of the web page) can be found at the following two URLs:

For the Lecturer/Reader positions:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=037926

For the Chair (Full Professor) position:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=037970

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Applications are invited for fully-funded Ph.D. positions in the Department of Computer Science at the City University of New York (CUNY). The selected candidate(s) will collaborate with Prof. Mayank Goswami (http://eniac.cs.qc.cuny.edu/mgoswami/) on algorithms for big data, with an emphasis on algorithms with theoretical and approximation guarantees for problems arising in databases, social networks, computational geometry, and machine learning. Candidates who like algorithmic problem solving and have
theoretical computer science/mathematical backgrounds are strongly encouraged to apply.

Most of the research will be conducted at the CUNY graduate center (http://www.gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives/Doctoral-Programs/Computer-Science) in Manhattan, New York. The position pays for a modest but sufficient (by NYC standards) stipend. Throughout your tenure, you will conduct original research that will be published in highly ranked computer science conferences and journals. The objective is to 1) spend four to five years solving cool algorithmic problems in one of the leading hubs for high-tech , and 2) to prepare you for a career in either industry or academia at the completion of your dissertation.

Interested candidates should email Prof. Mayank Goswami at mayank.isi@gmail.com with a summary of their backgrounds and interests. Applications will be received through the graduate center website, at http://www.gc.cuny.edu/Prospective-Current-Students/Prospective-Students/Admissions

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Position: Senior Research Scientist on Applied Machine Learning (Statistical Learning)

The Network and Traffic Optimization research team of the Mathematical and Algorithmic Sciences Lab, Huawei France Research Center, located in the Paris area, is looking for candidates for a permanent research position on Machine Learning to commence by the end of the year. The research will focus on developing algorithms and novel network analysis schemes to drive research and innovation in the context of advanced traffic engineering. The successful candidate will be involved in the development of competitive solutions Intelligent Network Management systems.

Major Responsibilities:
- Lead research and innovation in machine learning to improve data center networks performance and decrease the cost of operation.
- Identify future business and technologies requirements in machine learning and networking, especially, use the artificial intelligence in network. Collaborate with other units to ensure the successful exploitation of research outputs.
- Responsible for theory exploration, advanced algorithm design, analysis, and performance evaluation to meet challenging business requirements.
- Generation of intellectual property through the patenting of ideas.
- Responsible for the quality of project deliveries
- Disseminate research outputs in major research and industry events worldwide.
- Create and maintain strong collaborations with academia, industry and research agencies.
- Contribute to the creative and innovative atmosphere in Huawei Research Labs.

Required Degree: PhD Experience: 10+ years English: Operational

Specific Requirements:
Candidates must have a strong background in Statistical Learning in the context of Machine Learning and experience in system design, algorithm development, and simulation of networked systems. In addition, the following skills and experiences are highly desirable:
- PhD Degree in Applied Mathematics or Computer Science
- Solid background on machine learning and data center networking
- Good knowledge of standard statistical learning tools (e.g., regression methods, kernel methods, artificial neural networks, reinforcement learning).
- Good knowledge of standard stochastic optimization paradigms (MDPs, dynamic programming) and sequential learning algorithms (multi-armed bandits)
- Good Knowledge of network architectures, data center architectures and protocols Proficiency with machine learning tools (R, Sage, SciPy, Matlab)
- Practical experience with big analytics tools (Hadoop, Spark, Storm, Flink) will be a plus
- Familiarity with low-level development languages (C/C++) will be a plus.
- Solid publication record in machine learning applied to networking problems

Candidates must have the ability to conduct independent research while also contributing to team-oriented projects that often span across multiple international Huawei research sites.
Huawei is a leading global information and communications technology (ICT) solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in DC network telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, service provider, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 140 countries, serving more than one third of the world’s population.

To apply please send a complete CV, two reference persons and a cover letter briefly explaining your expertise and research interests. Applications should be submitted by email to: jeremie.leguay@huawei.com and sonia.rodriguez@huawei.com

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

The application deadline is 31st January 2017 Tuesday.

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 for a UK/EU/international student, 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 31st January 2017 Tuesday, or until a suitable candidate is found thereafter.

HOW TO APPLY

All PhD applications are to be made online at http://pgr.strath.ac.uk/. All documents (including scans of original documents) can be uploaded during the online application process. 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. In order to be considered for this studentship, candidates should specifically note the title of this project in their online application when prompted about funding and their source of finance, and they should notify Ms Alison Kerr via email (see below for details) when they have submitted their online application, noting that they are willing to apply to this specific studentship.

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

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

Enquiries regarding applications (including notifying your scholarship application) to: Ms Alison Kerr (alison.kerr@strath.ac.uk)

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Postdoctoral Position in Multiple Facility Location PSL Research University (École normale supérieure Paris and University Paris-Dauphine)
A one year (12 months) postdoctoral position is currently open in the AGaPe group of the LAMSADE, University Paris-Dauphine and the TALG group, École normale supérieure.
The successful candidate should have a PhD degree in computer science or mathematics and should have a strong publication record in Theoretical Computer Science.

Applications will be reviewed starting from December 5, 2016 until the position is filled. The starting date is flexible but on September 1, 2017 at the latest.

Applications (including a cover letter, a curriculum vitae, a list of publications, and the names and contact information of at least two references) must be sent to Vangelis Paschos, paschos@lamsade.dauphine.fr

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Fully funded Ph.D. positions in Operations Research are available starting now in the department of Civil Engineering at École de technologie supérieure in Montréal (www.etsmlt.ca). You will work under the supervision of prof. Fausto Errico. Fausto Errico is also member of CIRRELT (www.cirrelt.ca) and GERAD (www.gerad.ca), two worldwide renowned research centers in Operations Research, also located in Montréal. Opportunities for co-supervisions with other members of these two centers are possible and welcome.

Montréal (http://www.tourisme-montreal.org) is a vibrating, dynamic metropolis located in the province of Quebec, Canada. It hosts 5 major universities and it is often rated among the top cities worldwide for its quality of life.

Several research topics are available. The main application fields are: 1) Planning of innovative transit systems, 2) Electric vehicles and related stochastic and dynamic routing problems and 3) Management of hydropower generation. Generally speaking, the above applications require the solution of hard combinatorial problems featuring stochastic and dynamic aspects.

As a Ph.D. candidate you are expected to carry out top-level research to develop efficient solution algorithms for hard combinatorial problems. Methods include: decomposition strategies for large mathematical programs such as column generation, Benders decomposition, Lagrangean relaxation; implicit enumeration schemes, such as branch-and-cut and branch-and-price; two-stage and multi-stage stochastic programming; stochastic and approximate dynamic programming.

You hold a master’s degree in Operations Research, Applied Mathematics, Computer Science or related fields. You must have a strong background in the above-mentioned solution methods. You must demonstrate advanced skills in C/C++ programming languages and you are at ease with mathematical programming solvers (CPLEX, Gurobi, etc).

If interested, please send your application to Fausto Errico (fausto.errico@cirrelt.ca). Applications should contain the following material in a SINGLE PDF file:
1. A one-page cover letter explaining your motivations to pursue a Ph.D. in Operations Research in Montréal and indicating your preferred start date
2. A one-page document explaining your research interests and how they fit in the above-mentioned research themes
3. Your up-to-date, complete Curriculum Vitae
4. The copy of your master’s thesis
5. Transcripts from both bachelor’s and master’s degrees
6. A copy of your publications, if it applies
7. The names and contact details of one or two academic referees, one of which should be your master’s thesis supervisor

You can apply in English, French, Spanish or Italian. However, you must be fluent in English. Knowledge of French is desirable, but not necessary. Reviewing of applications will start immediately. Applications are accepted until positions are filled.

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Applications are invited for 2 postdoctoral positions in the School of Mathematics at the University of Edinburgh. The positions are available for 12 months, assuming the successful candidates take up post on or before 01 March 2017.

The post holder will become a member of the Big Data Optimization group led by Dr Peter Richtarik, join the Edinburgh Research Group in Optimization, and will have opportunities to interact with the Alan Turing Institute and KAUST.

The ideal candidate will be an enthusiastic and creative individual with a Ph.D. in Mathematics, Computer Science, Optimization, Data Science, Machine Learning, Operations Research, Engineering, or a related field, and a strong track record as evidenced by high quality publications, invited talks and prizes. Expertise in several of the following is desired: optimization/training algorithms, convergence analysis, deep learning, reinforcement learning, randomized/stochastic algorithms, convex analysis, nonconvex optimization, complexity analysis, matrix theory, C++, Python, Julia, Spark, Tensorflow, MPI/Open MP, and high-performance computing.

All applicants must apply online via our vacancy website: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=038477

Please include with your application: a CV (including publication list); a research statement. In addition, please arrange for at least three referees to send letters of recommendation directly to hr@maths.ed.ac.uk by the closing date.

Closing date: 5pm (UK time), Monday 23rd January

Skype interviews will be held during January 25 - 27, 2017. If you have not heard from us by January 31, 2017, please assume that your application has not been successful. For informal enquiries about the post, please contact Dr Peter Richtarik (peter.richtarik@ed.ac.uk).

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Research grant in "New Optimization Models for Transportation"

INESC TEC is accepting applications to award 1 Postdoctoral Grant in project SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics.

Project overview: The goal is to provide simulation and optimization models for transportation under new paradigms. Outputs of this project should contribute to state-of-the-art mathematical models, reflecting new specificities arising under this paradigm, as well as with off- and on-line optimization algorithms to handle these problems.

Reference Monthly Value: €1495,00
Application Period: 2017-01-05 to 2017-01-20

For additional information on the project and project team please check: http://www.dcc.fc.up.pt/~jpp/Announcements/Smiles.html

Application guidelines are available at: https://www.inesctec.pt/ip-en/work-with-us/bolsas-inescporto/AE2016-0387?set_language=en&cl=en

For additional information please contact João Pedro Pedroso (University of Porto) - jpp@fc.up.pt

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The Mathematical Sciences department of the IBM Thomas J. Watson Research Center invites applications for its 2017-2018 Herman Goldstine Memorial Postdoctoral Fellowship for research in the mathematical and computer sciences. The fellowship provides scientists of outstanding ability an opportunity to advance their scholarship as resident department members at the Research Center. The Research Center is located in Westchester County, less than an hour north of New York City.

The department provides an atmosphere in which basic research is combined with work on technical problems arising in industry. Our permanent members, academic visitors, and post-doctoral fellows pursue research in pure and applied mathematics and in theoretical and exploratory computer science. Areas of research include: algorithms (approximation, randomized, and on-line); complex systems; data mining (machine learning, pattern recognition, computational statistics); dynamical systems; high-performance computing (scientific computing, parallel computing, big-data); inverse problems; numerical analysis; optimization (discrete, continuous, global and stochastic); operations research; probability theory (stochastic models, risk management, queues & queuing networks, simulation); and statistics (time-series, multivariate analysis, spatiotemporal analysis, design of experiments & reliability).

Close interaction with permanent department members is expected and encouraged, but fellows are free to pursue their own research interests. Up to two fellowships will be awarded. Candidates must have received a Ph.D. degree after September 2012 or should expect to receive one before the fellowship commences in the second half of 2017 (usually in September). The fellowship has a period of one year, and may be extended another year by mutual agreement. The stipend is expected to be between $105,000 and $130,000, depending on the length of experience. An additional allowance for moving expenses will be provided.

The application form will be available at http://www.research.ibm.com/goldstine/ beginning November 15, 2016 and applications must be received by January 17, 2017. Final decisions will be conveyed by the end of March 2017.

Application process
Upon submitting the form, applicants will receive a confirmation message via email along with instructions on supporting materials that the candidate will need to furnish. These include the following:
- Full CV.
- Abstract of your Ph.D. dissertation.
- A 2-3 page research statement describing your current research and the research plan that you would like to pursue if offered the fellowship.
- 3 or more letters of recommendation, including one from the thesis advisor. (Emails requesting letters of recommendation will be directly sent to the references listed by the applicant in their application form)
- Finally, you may attach up to three of your most important papers.

A cover letter is not required. We strongly prefer all documents in PDF format, but Word or PostScript documents will be accepted if you absolutely cannot generate them in PDF.
Questions can be addressed to goldpost@us.ibm.com with "2017 Goldstine Query" in the subject line.

IBM is committed to work-place diversity, and is proud to be an equal-opportunity employer.

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Vi segnalo di seguito due bandi degli istituti CNR-IASI e CNR-IAC per tirocini formativi extracurriculari retribuiti e rivolti a neolaureati (max 1 anno dalla laurea).

I tirocini fanno parte del programma di ricerca MIE - Mobilità Intelligente Ecosostenibile e verranno svolti in collaborazione con TIM (Telecom Italia).

Il tirocinio è rivolto a neolaureati e prevede un periodo di formazione di 6 mesi presso gli istituti IASI e IAC, sede di Roma e interazione con il team di progetto di TIM.

Le tematiche sono relative a metodi e strumenti per l'ottimizzazione del traffico veicolare.

Vi riporto di seguito il link ai bandi nel caso sia di vostro interesse. Vi chiedo gentilmente se potete inoltrarlo a ragazzi di vostra conoscenza che potrebbero essere interessati al tirocinio

Scadenza 16 Gennaio

http://www.urp.cnr.it/copertine/formazione/form_tirocini/tirocini.htm

http://www.urp.cnr.it/copertine/formazione/form_tirocini/tirocini_2016/IASI_001_tirocinio_bando_2016.pdf

http://www.urp.cnr.it/copertine/formazione/form_tirocini/tirocini_2016/IAC_004_tirocinio_bando_2016.pdf

I ragazzi interessati possono fare domanda ad uno o ad entrambi i bandi.

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Several positions as tenure-track assistant professor or associate professor are available at the Department of Computer Science, Aarhus University (www.cs.au.dk) starting summer, 2017.

The department has research groups within "Algorithms and Data Structures", "Data-Intensive Systems", "Cryptography and Security", "Mathematical Computer Science", "Logic and Semantics", "Ubiquitous Computing and Interaction", "Computer-Mediated Activity", "Use, Design and Innovation", and "Programming Languages". Moreover, we wish to build competencies within Machine Learning and Systems Security.

Applicants within the areas of "Data-Intensive systems", "Algorithms and Data Structures", "Machine Learning", and "Systems Security" are of special interest, but applicants within other research areas are also very welcome.

The application deadline is January 15th, 2017.

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We are seeking outstanding candidates with expertise and proficiency in random graphs and hypergraphs.

The successful candidate will be employed as a postdoc for 22 months at the Combinatorics Group https://www.math.tugraz.at/comb/ of the Institute of Discrete Mathematics at TU Graz. The preferred starting date is 1 May 2017, but negotiable.

The basic salary is specified in the FWF standard personnel costs and salaries https://www.fwf.ac.at/en/research-funding/personnel-costs/.

Condition of employment:
- Qualified candidates must hold a PhD degree in mathematics or theoretical computer science

Application documents:
- Cover letter of application
- Curriculum vitae including the list of publications
- A short statement of research interests
- A list of full contact information of two references who can submit letters of recommendation

All application documents should be electronically submitted in a single PDF file by 15 January 2017 to

sandra.wissler@tugraz.at

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The ESSEC Business School of Paris is looking for top applicants for our PhD program, for the Operations Management & Decision Science (OMDS) track.

Students interested in conducting academic research in OMDS fields are encouraged to apply.

For further details concerning the application, please visit: http://www.essec.edu/en/program/phd-en/phd-program/admission/.

The application deadline is January 15th.

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The TCS Group at KTH Royal Institute of Technology invites applications for a PhD position in computer science focused on SAT solving.

KTH Royal Institute of Technology is the leading technical university in Sweden. The Theoretical Computer Science Group at KTH (www.csc.kth.se/tcs) offers a strong research environment spanning a wide range of research topics such as complexity theory and approximation algorithms, computer and network security, cryptography, formal methods and natural language processing. We have one of Europe's most prominent groups in algorithms and complexity theory, and the research conducted here has attracted numerous international awards and grants in recent years.

The PhD student will be working in the research group of Jakob Nordstrom. Much of the activities of this research group revolve around the themes of efficient algorithms for satisfiability in propositional logic (SAT solving) and lower bounds on the efficiency of methods for reasoning about SAT (proof complexity). On the practical side, one problem of interest is to gain a better understanding of, and improve, the performance of current state-of-the-art SAT solvers --- in particular, solvers using conflict-driven clause learning (CDCL). We are even more interested in exploring new techniques that hold out the theoretical possibility of exponential improvements over CDCL, but seem hard to implement efficiently in practice, e.g., algebraic methods such as Groebner bases or geometric methods such as pseudo-Boolean solving (basically 0/1 integer linear programming).

The research project is financed by a Breakthrough Research Grant from the Swedish Research Council and a Starting Independent Researcher Grant from the European Research Council. A more detailed description of the project can be found at www.csc.kth.se/~jakobn/project-proofcplx. The group currently consists of two postdoctoral researchers and four PhD students (in addition to the PI). There are also several other professors, postdocs, and PhD students in the TCS Group working on other aspects of algorithms and computational complexity, and so this is a unique opportunity to explore new connections between theoretical and practical areas of computer science within a vibrant and growing research environment.

This is a four-year full-time employed position, but PhD positions usually (though not necessarily) include 20% teaching, in which case they are prolonged for one more year. The successful candidate is expected to start at the latest in August-September 2017, although this is to some extent negotiable. The position is fully funded and comes with a competitive salary.

The application deadline is January 15, 2017. See http://www.csc.kth.se/~jakobn/openings/D-2016-0833-Eng.php for the full announcement with more information and instructions how to apply. Informal enquiries are welcome and may be sent to jakobn@kth.se .

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Two Phd and/or Postdoc positions in combinatorial optimization are available in the group of Prof. Nicole Megow at the University of Bremen in the department of mathematics and computer science. The group's research focus is on combinatorial optimization, efficient algorithms, approximation algorithms, scheduling, network design and algorithms, optimization under uncertainty such as online, stochastic, and robust optimization, and their application in practice.

Candidates should have an excellent academic degree in mathematics, theoretical computer science or a related area, and must have good knowledge in combinatorial optimization and algorithm theory. A background in some of the other above-mentioned topics is desirable. Good communication skills and solid English writing skills are necessary. In addition, the successful candidate will be highly self-motivated, passionate about his/her work, and have good ability to work both independently as well as in a team.

Both positions are full-time positions, involve teaching, and they are paid according to the Federal German Payment scale TV-L 13.

Applications will be reviewed starting from January 15, 2017, until the position is filled. The envisioned starting date is as soon as possible but may be negotiable.

Please send your application (including cover/motivation letter, curriculum vitae, list of publications, and the names and contact information of at least two references) to the address below. Electronic submissions are highly encouraged (please attach relevant documents as *a single pdf*).

Prof. Nicole Megow
Universität Bremen
FB 3: Mathematik/Informatik
Bibliothekstr. 1, MZH
28359 Bremen
Germany

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Titolo del progetto di ricerca in italiano
“Studio e sviluppo di soluzioni per la gestione ed analisi big data: social media e smart city”
Scadenza per la presentazione della domanda: 13 Gennaio 2017
Data della selezione a Firenze o via Skype: 19 Gennaio 2017
Modello e modalità di presentazione della domanda: http://titulus.unifi.it/albo/viewer?view=files%2F002333259-UNFICLE-28afc6c7-2524-40c9-ba62-fbf84063323a-000.pdf

Title of the research activity in English
“STUDY AND DEVELOPMENT OF SOLUTIONS FOR BIG DATA management and analysis: social media and SMART CITY”.
Deadline for application: 13 January 2017
Selection date in Florence or via Skype: 19 January 2017
Application form and modalities: http://titulus.unifi.it/albo/viewer?view=files%2F002333259-UNFICLE-28afc6c7-2524-40c9-ba62-fbf84063323a-000.pdf

Descrizione sintetica in italiano
L’assegno di ricerca, tema di questo bando, ha come obiettivo la modellazione e lo sviluppo di soluzioni distribuite per l’elaborazione dati in ambito social media e smart city, con soluzioni big data Lo studio sarà orientato allo sviluppo di soluzioni su architetture distribuite e parallele, data mining, semantic computing, e per l’acquisizione di dati da social media, e georeferenziati da sorgenti multiple verso soluzioni linked open data per knowledge base, sistemi esperti e di sentiment, early warning. Le tecnologie che si andranno a sviluppare saranno di data mining, intelligenza artificiale, machine learning, etc. Il lavoro si svolge nel contesto dei progetti Sii-Mobility, RESOLUTE e REPLICATE descritti in seguito, e può dare accesso al dottorato di ricerca triennale, oppure essere una assegno post doc per i candidati che hanno già il dottorato.
I progetti Sii-Mobility Smart City nazionale http://www.sii-mobility.org , ed i progetti REPLICATE H2020 e RESOLUTE H2020 della commissione Europea sono progetti rispettivamente a livello nazionale ed Europeo. In questi progetti sono coinvolti decine di partner industriali e istituzionali / governativi: comuni, città, etc., e molti centri di ricerca. Sii-Mobility, RESOLUTE e REPLICATE si focalizzano sulla modellazione e sviluppo di soluzioni Smart City, di resilienza e social media che si fondano sul modello Km4City sviluppato dal laboratorio DISIT (http://www.km4city.org ) and on Twitter Vigilance. Sii-Mobility ha maggiore accento sugli aspetti di mobilità, identificazione dei percorsi, produzione di raccomandazioni personalizzate, geometrie dinamiche delle ZTL, modelli dinamici ed adattivi di pagamento, etc., mentre RESOLUTE sugli aspetti di resilienza e valutazione del rischio, REPLICATE sugli aspetti di integrazione fra IOT, energia, mobilità, che possono produrre soluzioni smart nel consumo di energia, nella misurazione dello stato della città e come servizi di mobilità integrata.
L’assegnista si troverà ad avere compiti specifici che potrà sviluppare in modo autonomo e al contempo ad essere inserito nel team di DISIT lab, e potrà pertanto trarre subito vantaggio da una situazione già lanciata e con dati reali, e le soluzioni potranno essere utilizzate nel contesto delle sperimentazioni del DISIT lab per lo sviluppo della Smart City di Firenze.

DURATA: 2 anni
Importo annuale: € 23.473,51 (lordo percipiente € 19.367,00)
precondizioni
o Laurea ai sensi del Vecchio Ordinamento in (i) INGEGNERIA INFORMATICA, (ii) FISICA O MATEMATICA, (iii) SCIENZA DELL’INFORMAZIONE.
o Laurea specialistica/Laurea magistrale N.O. INGEGNERIA INFORMATICA, FISICA O MATEMATICA, SCIENZA DELL’INFORMAZIONE.

Description in English
The research grant contract described in this competition announcement is aimed at modeling and developing distributed solutions for data processing in the field of social media, smart city and big data. The research will be focused on developing solutions on distributed and parallel architectures, data mining, semantic computing, and acquisition of social media and geo-referenced data from multiple sources towards linked open data solutions for knowledgebase, expert systems, sentiment analysis e early warning. The technologies to be developed will be grounded on data mining, artificial intelligence, machine learning, etc. The framework of the research is linked to the projects Sii-Mobility, RESOLUTE H2020 and REPLICATE H2020 described below, and can grant access to the three-year PhD or could be a post-doc grant contract for candidates who have already obtained a PhD.
SII-Mobility (national Smart City http://www.sii-mobility.org), RESOLUTE H2020 and H2020 REPLICATE projects of the European Commission are research projects at both National and European level respectively. In these projects, there are many industry partners and institutional / governmental entities: municipalities, cities, etc., and many research centers.
Sii-Mobility, RESOLUTE and Replicate focus on the modeling and development of Social Media analysis and Smart City solutions which are based on the Km4City model developed by DISIT laboratory (http://www.km4city.org) and on Twitter Vigilance.
SII-Mobility has stressed more the mobility aspects, route identification, production of customized recommendations, dynamic geometry of ZTL, dynamic and adaptive models of payment, etc., while RESOLTUE H2020 is focused on risk and resilience of critical infrastructures, REPLICATE is more focused on integration aspects among IOT, energy, mobility, integration aspects which can produce smart solutions in energy consumption, a more positive measurement of the state of the city and could also work as integrated mobility services.
The grant researcher will have specific tasks and he will be able to develop them in an independent way; but at the same time he will be part of the DISIT lab team, and he will therefore immediately take advantage of an already tested situation, with real data, while solutions may be exploited in the context of DISIT lab testing, for the development of Florence, Smart City.

DURATION: 2 YEARS
grant per year: € 23.473,51 (after taxes € 19.367,00)

Preconditions
Degree in computer science, or master or specialization degrees in: ( i) Computer Science, or (ii) statistics or mathematics, or (iii) information science, or equivalent degrees

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The University of Edinburgh's School of Mathematics is seeking a Postdoc in Portfolio Optimization. A sound background in combinatorial and discrete optimization would also be desirable.

Applications are invited for an 18 month postdoctoral position in the areas of mathematical finance and optimization with a particular focus on probabilistic and optimization methods used in portfolio theory. The position will be based at the School of Mathematics, University of Edinburgh. There is a possibility of an extension for a further 18 months.

We look for candidates with a Ph.D. in Mathematics, Optimization, Operations Research, or any related field with a strong track record evidenced by publications in top quality journals.

The successful candidate will join a team of four mathematicians:
Sergio García Quiles, Jacek Gondzio, Joerg Kalcsics and Sotirios Sabanis who bridge between the Edinburgh Research Group in Optimization and the Probability group.

The project is funded by the EPSRC Impact Acceleration Account and Standard Life Investments and initially will involve research in portfolio construction approaches to optimal diversification.
The project is a step towards a strategic partnership between Edinburgh University and Standard Life Investments (SLI) focused on quantitative portfolio and investment research. There will be opportunities to interact with SLI in order to enhance understanding of practical research implications and aid further career development.

The position should be taken up in March 2017 or soon after.
The starting salary will be in the range of £32,004 - £38,183, depending on experience.
Please include a CV and research statement with your application and arrange for two referees to send letters of recommendation to hr@maths.ed.ac.uk by the closing date.

The closing date for applications is 5pm GMT on 12 January 2017.

Informal enquiries:
Prof Gondzio: +44 131 650 8574, J.Gondzio@ed.ac.uk Dr Sabanis: +44 131 650 5084, S.Sabanis@ed.ac.uk

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Kent Business School (KBS) at the University of Kent, UK, has several PhD scholarships on offer for September 2017 entry. The Management Science group at KBS invites applications in the following areas:

1) Logistics and supply chains (e.g., location, routing, location/routing)
2) Environmental management
3) Disaster management, humanitarian logistics and critical infrastructure protection
4) Data Envelopment Analysis (DEA)
5) Production planning and inventory control
6) Soft OR (e.g., problem structuring and strategic thinking)
7) Process improvements and sustainability

For information about the KBS Management Science group and its research activities, please visit the group’s web page​: http://www.kent.ac.uk/kbs/research/research-groups/managment-science/index.html

Kind Regards
Maria Paola Scaparra

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PhD positions in Mathematics at the London School of Economics and Political Science.

The Department of Mathematics at LSE has openings for PhD students, including in the areas of Discrete Mathematics, Operations Research and Analytics, and Game Theory. We are seeking exceptionally talented and motivated students with a strong mathematical background and interest in combinatorics and random structures, mathematical foundations of operations research, discrete optimisation, algorithms, mathematical and algorithmic game theory, and related areas.

For further information about the PhD programme, application procedures, and faculty please see http://www.lse.ac.uk/maths/Degrees/PhD_and_MPhil.aspx

Applicants will automatically be considered for funding covering fees and paying GBP 18,000/year (currently about EUR 21,000 or USD 22,000) for up to 4 years. The award of these scholarships is competitive, based on academic performance (typically in an MSc or equivalent) and suitability of the proposed research. Application deadlines for funding are 9 January and 26 April 2017; we strongly encourage submission by the earlier deadline.

Prospective applicants are encouraged to contact the following department faculty members to discuss their qualifications and research interests before submitting a formal application:
Discrete Mathematics: Prof Graham Brightwell
Operations Research: Prof Gregory Sorkin
Game Theory: Prof Bernhard von Stengel

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Postdoc in Container Terminal Optimization
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The Department of Management Engineering invites applications for a position as Postdoc in Operations Research with a focus on Container Terminal Optimizaiton.
The Department is looking for a flexible and enthusiastic candidate, who is willing to be a part of a pilot research project on how operation research techniques can be used to boost collaboration between container carriers and container terminals. We are interested in optimizing the ship handling operations by exploiting synergies between the container vessel stowage plan and the scheduling of the cranes in a container terminal. The project is to be run in collaboration with APM Terminals in Aarhus, which will be providing data and details about the current planning practices.
The postdoc appointment is of the total of 1 year from the starting date. Being a pilot project, the candidate will also have the possibility of participating on the writing of the next funding application, and eventually on the execution of the defined project.

Responsibilities and tasks
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The applicant will be responsible of the development of optimisation models and/or algorithms for the ship loading problem. An integrated container to transport vehicle assignment and scheduling problem.
There will be possibilities to contribute with lectures to the teaching within the area.

Qualifications
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Candidates should have a PhD degree or equivalent. A good knowledge of operations research techniques including: mathematical modelling, heuristics, metaheuristics and matheuristics. The applicant should also be able to program in an efficient programming language such as Java or C++.
The research team has a Linux server available for performing computational experiments, thus knowledge of the Linux environment would be a plus but not a requirement.

We offer
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We offer 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. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

Salary and terms of employment
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The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year.

Further information
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Further information may be obtained from Associate Professor Dario Pacino, tel.: +45 4525 1512, email darpa@dtu.dk.
You can read more about DTU Management Engineering on www.man.dtu.dk/english.

Application procedure
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Please submit your online application no later than 2 January 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open http://www.dtu.dk/Job/job?id=48acc154-cbd0-4585-b220-5f8135131b6b# and follow 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
- Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
The Department of Management Engineering actively researches in the development of management tool and optimization of processes by utilizing and re-thinking engineering driven methods, models and perspectives. It has a staff of 300 including around 70 doctoral students. The Department has close collaboration across a number of sectors including Danish and international partners from industry and public authorities as well as leading international universities.
DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.