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Displaying opportunities 226 - 250 of 326 in total
Expires Title Institution Country Link Type
10 Mar 2017 PhD Positions in Operational Research

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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.

Portsmouth Business School United Kingdom Go Academia
10 Mar 2017 PhD position at the University of Portsmouth

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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.

University of Portsmouth UK Go Academia
02 Mar 2017 Teaching assistant positions in maths, statistics, computer science

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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.

LUISS University in Rome Italy Go Academia
28 Feb 2017 PhD Position in Optimisation of Renewable Energy

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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).

University of Strathclyde United Kingdom Go Academia
28 Feb 2017 PhD Positions in C.S./Optimisation

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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.

University of Essex United Kingdom Go Academia
28 Feb 2017 PhD positions in Management Science, Logistics, Operation Management, Game Theory

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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.

CASiM Leipzig Germany Go Academia
28 Feb 2017 Pre-doc or Postdoc position in optimisation of energy networks

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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).

LEAP/Politecnico di Milano Italy Go Academia
28 Feb 2017 O.R. Specialist

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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).

Optit Italy Go Industry
28 Feb 2017 Data Scientist

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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).

Optit Italy Go Industry
28 Feb 2017 Stage pre-laurea o post-laurea Ecole d'ingénieur et Master, Versailles France Go Industry
28 Feb 2017 Algorithm developer for O.R. and data science

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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:
*****************
* 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.

Optym United States Go Industry
21 Feb 2017 Postdoc position in revenue management in city logistics

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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.

INRIA Lille France Go Academia
21 Feb 2017 Postdoc position in Operations Research

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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.

INRIA Lille France Go Academia
17 Feb 2017 PhD or Postdoc positions in algorithms and combinatorics

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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

University of Siegen Germany Go Academia
15 Feb 2017 Postdoc positions in Combinatorial Optimisation and Complexity Theory

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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.

Université libre de Bruxelles Belgium Go Academia
05 Feb 2017 Lecturer position in Operational Research or Optimisation

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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.

Queen Mary University United Kingdom Go Academia
01 Feb 2017 Postdoc position in Network Optimisation and Energy Applications

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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

Los Alamos National Laboratories United States Go Academia
31 Jan 2017 Faculty positions in algorithms and complexity

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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

University of Edinburgh Scotland Go Academia
31 Jan 2017 PhD Positions at ETS Montreal

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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.

École de technologie supérieure Canada Go Academia
31 Jan 2017 Senior Research Scientist in Applied Machine Learning

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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

Huawei France Go Industry
31 Jan 2017 PhD in algorithms for big data

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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

City University of New York United States Go Academia
31 Jan 2017 PhD Position in Optimisation

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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)

University of Strathclyde United Kingdom Go Academia
31 Jan 2017 Postdoc position in Multiple Facility Location

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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

University Paris Dauphine France Go Academia
23 Jan 2017 Postdoc positions in Optimisation and Machine Learning

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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).

University of Edinburgh United Kingdom Go Academia
20 Jan 2017 Postdoc position in Optimisation Models for Transportation

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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

INESC TEC Portugal Go Academia