Toggle description

We are seeking two new colleagues for permanent lectureships in Operational Research.
The School of Mathematics runs a very successful suite of MSc programmes in Operational Research and the applicant will be expected to make imaginative and significant contributions to these, including through the supervision of MSc projects.

Toggle description

At the earliest possible date, the following PhD position (50% part-time) concerning the MWK research project "Mobility Concepts for Carbon Free Campus Karlsruhe" is to be filled at the Institute for Transport and Infrastructure.

Responsibilities:
- Estimating transport mode choice models
- Predictive analysis of mode choices

Requirements:
- Completed university education in computer science, business informatics, traffic science, physics, mathematics, economics / engineering and related degree programs
- Interest in working with data and software
- Good knowledge of quantitative analysis methods is desirable (in particular, discrete choice models)
- Scientific interest, high motivation for research

Employment is initially limited to 31 October 2019. Thereafter, the contract may be extended.
Depending on personal experience, the classification is made according to the remuneration group 13 TV-L.

For further information, please see the pdf at the link.

Toggle description

At the earliest possible date, the following PhD position (50% part-time) is to be filled at the Institute for Transport and Infrastructure.

Responsibilities:
Participation in the BMBF research project "Reliability in Smart and Big Data for Public Transport". Analysis of sensor data for entry, exit, and transfer processes in public transport. Development and implementation of an optimization approach to accelerate the transfer processes in nodes of public transport networks.

Requirements:
- Completed university education in computer science, business informatics, traffic science, physics, mathematics, economics / engineering and related degree programs
- Interest in working with data and software
- Good knowledge of quantitative analysis methods is desirable
- Scientific interest, high motivation for research

Employment is initially limited to 31 October 2019. Thereafter, the contract may be extended until 30 June 2021. Depending on on personal experience, the classification is made according to the remuneration group 10 TV-L.

More info at the link

Toggle description

This is a call for permanent research positions as Data Scientist and Senior Data Scientist at Verizon Connect, via Paisiello 26, Firenze.

We have immediate need for a Senior Data Scientist to join Data Products team of Verizon Connect.

Both the Data Scientist and Senior Data Scientist the will join the Data Products team and they will be responsible for the in-house research and development of strategic data products. They will use state-of-the-art machine learning algorithms to analyze their massive datasets and come up with innovative solutions to make their products smarter. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.

(More in the link)

Toggle description

This is a call for permanent research position as Research Engineer at Verizon Connect, via Paisiello 26, Firenze.

The Research Engineer will be responsible for the in-house research and development of strategic data products. He/she will analyze signals collected by the Internet of Things platform and customize remote tracking units to create innovative applications. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.

(More in the link)

Toggle description

The position will be at ENTEG, Royal University Groningen within Professor Dario Bauso's group and part of the duties of the postdoc will be to supervise Research Project for 2nd year MSc students at Industrial and Management Engineering, stream Logistics.
Ideally the selected candidate should start by the end of October.

For further information and to apply mail to dariobauso74@gmail.com

Toggle description

The Dalle Molle Institute for Artificial Intelligence (www.idsia.ch) opens a full-time Ph.D. student position in the areas of Machine Learning and Combinatorial Optimisation, with applications to optimisation problems in transportations and logistics.

Duties
- Research work on the application of state-of-the-art Machine Learning and Deep Learning techniques to Optimisation problems
- Development of methods in the fast-evolving field of Machine/Deep Learning for applications in the field of Optimisation for real logistic problems. (In both fields, the Institute has a renowned reputation and is active on several projects already)
- The student will have a significant freedom to explore these topics and will be closely supervised by prominent researchers in the areas.
- Moderate teaching duties.

Requirements
- Master degree with full honours, preferably in Applied Mathematics and/or Computer Science, or alternatively in a quantitative faculty such as Engineering, Statistics or similar.
- Excellent programming skills.
- Excellent scientific writing skills.
- Excellent background in Machine Learning and Deep Learning.
- Excellent background in Combinatorial Optimisation and Operations Research.

We offer
- Fixed-term position for 3 years, with possible extensions.
- Attractive salary, in line with Swiss standards (roughly 50000 CHF per year, low taxes).
- International working environment.
- Generous travel support to attend high quality conferences and workshops.

Applicants should provide the following documents:
1. Curriculum Vitae.
2. List of three references (with e-mail addresses).
3. Letter of motivation.
4. List of taken bachelor and master’s exams, with grades.

For further information and to apply mail to Professor Roberto Montemanni

Toggle description

The Department of Management at Università Ca' Foscari Venezia invites applications for a
fellowship in: Models and methods for ship scheduling problems – PRIN 2015 – Smart PORt
Terminals - SPORT” (grant number: 2015XAPRKF) CUP H72F15000440003 under the supervision of
Raffaele Pesenti, Chair of MAT/09 – Operations Research

Toggle description

Inoltro il sequente messaggio della Prof. Scutellà, che si occuperà anche della supervisione dell'assegnista:

Con alcuni colleghi ingegneri abbiamo vinto un
POR FESR 2014-2020, bando per grandi imprese.
Obiettivo è realizzare un sistema integrato hw/sw
per il monitoraggio e la gestione di merci e
carrelli di movimentazione in magazzini estesi e
ad alto indice di rotazione (l'azienda capofila è
Sofidel, rotoloni Regina). Lato Ricerca
Operativa, andranno studiati e risolti problemi
di ottimizzazione che scaturiscono in questo
contesto.

Toggle description

At least 50% of your assignment will be spent on academic research in preparation of a doctoral dissertation.
You will assist in the teaching activities at the department, specifically the following courses ‘Logistics and Supply Chain Management’ and ‘Production and Logistics Management’.
You will assist in the internal and external services of the department.

Toggle description

We seek a high performing Consultant to work in our Optimisation and Decision Support Practice which delivers consulting and implementation services to our customers globally. The selected candidate will be working with some of the largest oil & gas companies in the world helping them improve their decision processes through designing and implementing optimisation algorithms, providing advanced decision support and implementing KPI based planning methods.

Responsibilities
. Facilitating and leading workshops with clients, with the purpose of analysing and gathering user requirements and documenting business processes
. Analysis of business requirements and present findings concisely.
. Model decision processes and value chains
. Performing opportunity mapping, gap analysis, identify risks, identify dependencies and recommendations for process improvement
. Integration of domain-specific optimisation models across the oil and gas value chain

Skills
. Keen interest in taking decision making and algorithm performance to the next level.
. Self-driven, ambitious and willing to take ownership of projects/tasks
. Desire to learn and adapt new skills, tools and technologies
. Willing to work in a highly complex environment
. Able to cooperate with business stakeholders at multiple levels of an organization
. Excellent communication skills (written and verbal) in English
. Ability to work in multi-cultural set up and in distributed teams
. Ability to start with minimum information and proactively gain knowledge
. Solid understanding of the upstream Oil & Gas value chain

Qualifications
. Master’s degree or higher within Operations Research, Cybernetics, Algorithm design or similar
. Experience from business consulting, optimisation consulting, advanced analytics consulting or similar is preferable

To apply, please send a CV and a cover letter to Jorgen.Rakke@tieto.com

About Tieto
At Tieto we are a team of professionals spread across many countries who are working on the frontline of a wide range of industries. We inspire, we engage and we deliver. We have global capabilities and a strong presence where our clients need it – in the Nordics or via local delivery centres across the globe.
Are you looking for a career with a company that both challenges and cares? Welcome to Tieto. We are committed to developing enterprises and society through information technology. We believe in openness, independent thinking, and in giving our people the freedom to be their exceptional selves. We are the largest Nordic IT services company providing full lifecycle services for both private and public sectors. Our work puts us at the frontline of a wide range of industries.
We offer you the chance to make a difference and be part of the forefront of emerging businesses and technology, exchanging ideas with the best professionals. You will cooperate with colleagues in an international and evolving working environment, and increase your knowledge in a variety of areas.
We offer you a challenging position with great opportunities for professional growth. With us you will have the opportunity to directly influence your career development. If you have a good idea, people will listen to you. We believe that trust fosters freedom and creativity. Our culture is built on transparency and active sharing – a truly open environment.
Interested? We look forward to receiving your application and the opportunity to discuss with you!

Toggle description

Amazon is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization (MOP) team. We are hiring specialists at all levels into our scientific team with expertise in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning.

Amazon.com is a multi-billion dollar company that is growing rapidly. Because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is to utilize available data in the development of analytical modeling and visualization tools. As part of the MOP Routing Science team, your main focus will be on developing and improving to our last-mile experience, with emphasis on algorithmic and analytical work.

You will also play an integral role in the network planning, modeling, and analysis that will improve the efficiency and cost effectiveness of global fulfillment operations. You will identify and evaluate opportunities to reduce variable costs by improving the transportation network topology, inventory placement, transportation operations and scheduling, fulfillment center processes, and the execution to operational plans. You will also improve the efficiency of capital investment by helping plan the location and deployment of fixed assets. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

Toggle description

UTRCI seeks candidates with Constraint Programming, Artificial Intelligence and Optimization expertise to work as part of multidisciplinary teams on developing and inserting advanced reasoning capabilities into a range of UTC technologies, with direct impact on the capabilities of our products, satisfaction of our customers and the competitive advantage of our business units.
Besides technical excellence, the ideal candidate will be passionate about improving the lives of our customers through innovative products, will work well as part of international teams, will be extremely well-organized and would have excellent communication skills.

(More in the link)

Toggle description

The main research subject is the methodology supporting the PRIN project “Scheduling cuts”. The main reference models are: cutting stock, bin packing, integer and 0-1 knapsack, lot-sizing, location, stable set, time-indexed formulations. Other relevant model frameworks are bilevel programming and robust optimization. Integer linear programming (ILP) is the methodology commonly referred at in order to solve cutting/packing problems (C&P). Dantzig-Wolfe decomposition (DW) is another reference method that can be referred to in the project, depending on application. Typical C&P pricing problems arising in DW decomposition are in the form of d-dimensional integer/0-1 Knapsack (rectangles) or nesting (irregular shapes). Depending on problem size/complexity, these problems are either solved by exact algorithms or by heuristics. Price-and-branch and branch-and-priceare the main frameworks in which ILP is implemented.

Toggle description

The University of Antwerp Operations Research Group (ANT/OR) is hiring at least two full-time researchers on the topic of "optimization methods for on-demand planning of public buses". Both pre-doctoral and post-doctoral researchers can apply.

These vacancies are part of a research project called "the future of pubic transport: towards a fully on-demand public bus system". Even though many obstacles still need to be overcome, the ubiquity of mobile devices would for the first time in human history allow for a large-scale shift to on-demand public transport. However: the operational and tactical foundations that are required to implement an on-demand transportation system are still lacking. Even though a large majority of people now has the technological means to determine exactly where they are and transmit exactly where they want to go, the tools to plan all of these transportation requests have not been developed. Such a system would demand carrying out optimization on a scale never seen before, and will require not only modelling all the intricacies of an on-demand scheduling of passengers, but to develop new optimization algorithms and software components that can coordinate such a massive fleet of vehicles and vast number of passengers. The development of these algorithms and software components is the main aim of this project.

The ideal candidate has a master’s degree in computer science, mathematics, statistics, civil/business engineering or other related field of study. He/she has a strong background in operations research and statistics, computer simulation, as well as excellent programming and software development skills, and an excellent command of the English language. Previous experience with (meta)heuristic algorithms, discrete event simulation, and statistical modelling/analysis is highly valued. Post-doctoral applicants should have obtained a relevant PhD recently.

For pre-doctoral candidates, the successful candidate will receive a tax-free scholarship (of approximately 1900 euros per month) for a 4-year period, subject to yearly evaluation. He/she will enroll in the doctoral program of the Faculty of Applied Economics (Department of Engineering Management) and is expected to obtain a PhD degree by the end of the fourth year. There is a sizeable budget available for attending international conferences, advanced workshops and other courses. Although the focus of the position is mainly on research, the candidate might be asked to take part in some teaching activities. Post-doctoral candidates may be hired for shorter periods of time and will receive a somewhat higher wage.

The ANT/OR research group is a young and dynamic team that focuses on the development of optimization methods to solve decision-making problems in a wide variety of fields, ranging from logistics and supply chain, transportation and production planning, to humanitarian logistics and digital music. The group works in close collaboration with several industrial partners, non-profit organizations and other international research institutions. The University of Antwerp is home to around 20,000 students, of which 18% come from overseas. It is currently ranked number 10 in the "top 50 under 50", i.e., universities in the world less than 50 years old. Antwerp is the second largest city in Belgium. It has one of the busiest ports in Europe and is the largest diamond trade centre in the world. This vibrant city is famous for its history, fashion industry, delicious food (beer, chocolate, fries, waffles ,…) and excellent quality of life.

Interested? Then please send the following documents (in a single zip file with your full name as the filename) by email to kenneth.sorensen@uantwerpen.be: (1) a motivation letter, (2) a one-page document describing your views on the topic of "models and methods for on-demand planning of public buses", and (3) a detailed CV. The deadline for application is May 31, 2018. You might be invited for an interview (either through videoconferencing, or in person) during the month of June 2018. The expected starting date is 1 October, 2018, but this is negotiable.

Toggle description

Fellowship for collaboration to research activities in the conntext of Industry 4.0. The project AD-COM aims at addressing several logistic and supply chain problems in the context of cosmetic manufacturing

Toggle description

The MINOA (Mixed-Integer Non-Linear Optimisation: Algorithms and
Applications) consortium is seeking highly motivated and qualified
Early-Stage Researchers (ESRs) that are looking for obtaining a PhD
degree in applied mathematics, operations research, and computer
science.

Once recruited, you will study relevant applications in areas such as
energy, logistics, engineering, analytics, and natural sciences. You will be trained through an innovative training programme based on individual research projects motivated by these applications. As special
challenges, you will work on dynamic aspects and optimisation in real
time, optimisation under uncertainty, multilevel optimisation or on
non-commutativity in quantum computing.

More information can be found here:

http://admin.euraxess.org/jobs/291084
www.minoa-itn.fau.de

Toggle description

Vrije Universiteit Amsterdam is a leading, innovative, and growing university that is at the heart of society and actively contributes to new developments in teaching and research. Our university has ten faculties which span a wide range of disciplines, as well as several institutes, foundations, research centres, and support services. Its campus is located in the fastest-growing economic region in the Netherlands (the Zuidas district of Amsterdam), and provides work for over 4,500 staff and scientific education for more than 23,000 students.

The School of Business and Economics (SBE) aims to combine high quality education with excellent research. The School offers four Bachelor’s programmes (Economics and Business Economics, Econometrics and Operations Research, Business Administration and International Business Administration), seven Master’s programmes among which the MSc in Spatial, Transport and Environmental Economics (STREEM), two research masters among which the Tinbergen Institute’s MPhil programme, and seventeen postgraduate programmes. The school has several research groups with an outstanding international reputation. SBE accommodates approximately 4,300 students and 1,700 postgraduate students. Over 500 staff members are employed at the School.

Logistics research group
The logistics research group of the Vrije Universiteit Amsterdam focuses on solving real-life problems in distribution logistics, including performance analysis, distribution and transport network optimization, and supply chain coordination. The group operates in a strong international research and industry network, participates in various national and international research projects and regularly organizes international conferences and workshops. Group members collaborate with leading researchers at several international universities and research output is published in leading academic journals in the field.

What we are looking for
To support the logistics research group’s research and teaching activities, we are looking for candidates with strong quantitative modelling skills and an interest in solving real-life problems in logistics and operations management. You have:

• A (nearly) completed PhD thesis in Operations Research, Operations Management, Management Science or equivalent;
• A strong interest in solving real-life problems in logistics and operations using state-of-the-art quantitative methods and empirical data witnessed by international scientific publications;
• Good teaching and communication skills to interact successfully with students, industry and academic partners.

For a position of associate professor, we additionally expect a strong publication record and an ambitious research pipeline targeted at publications in top international journals, the ability to initiate and build up a line of research, as shown for instance by acquisition of external funding and Ph.D. supervision, experience in teaching and curriculum management and the ability to establish and foster networks with international logistics and science-driven institutions and organizations.

What we are offering
A 6 year tenure track position in which you will have the opportunity to develop your own research track and contribute to the research group’s research agenda.
Research budgets are available for conference and research visits. Talented female candidates are eligible for a Hermine Weijland Fellowship grant which offers additional research support.
After 5 years your tenure will be evaluated but earlier tenure decisions are possible. The position at the Associate level is initially for a period of two years, with the intention to turn the position into permanent employment.
We will start inviting candidates from the application deadline onwards and the search will continue until the positions have been filled with high quality candidates.

Salary
The salary will be in accordance with university regulations for academic personnel, and depending on experience, range from a minimum of €3.475 up to a maximum of € 4.757- gross per month for an Assistant Professor and € 4.815 up to a maximum of € 5.861 for an Associate Professor, based on a full-time employment. For international candidates favorable tax benefits may apply. You can find information about our excellent fringe benefits of employment at www.workingatvu.nl

Information
Please see the following links for more information.
• Faculty: www.sbe.vu.nl.
• Logistics group with the Information systems & Logistics department: www.sbe.vu.nl/logistics.

Other specific information can be obtained from:
Prof.Dr. W.E.H. Dullaert, e-mail: wout.dullaert@vu.nl, phone +31-20-5983627
Prof.Dr.Ir. S. de Leeuw, e-mail: sander.de.leeuw@vu.nl, phone: +31-20-5986067

Application:
Applications should be received by 26th of April 2018 We start inviting candidates from the application deadline onwards and the search will continue until the position has been filled with a high-quality candidate.
Applicants should send a letter with their motivation, CV, two recommendation letters and list of publications to M. Maletic, Managing Director of the School of Business and Economics, by e-mail: vacature.sbe@vu.nl.

Please mention the vacancy number and position in the e-mail header.

Any other correspondence in response to this advertisement will not be dealt with.

Toggle description

The Laboratory of Testing and Analysis (LTA) of the University of Milano Bicocca (www.unimib.it) is looking for a post-doc researcher in data analytics applied to software engineering. The specific position is funded under the “Learn” ERC Consolidator Grant project and will have a duration of 2 years. The salary is competitive and defined based on the background and the experience of the candidate.

The hired post-doc will be part of an international group and will be involved in research activities about testing, dynamic analysis, and self-healing for mobile and cloud computing.

The candidates must have a PhD in computer science and a research background in data analytics. The interested researchers can send their CV to mariani@disco.unimib.it no later than April 15th, 2018.

Informal inquiries can be sent to mariani@disco.unimib.it

Toggle description

We are looking for candidates for Ph.D. post-doctoral researcher positions
at the University of Montréal / HEC Montréal / ESG UQAM for three research
projects:

1) Synergies between recommendation systems and retail assortment
optimization, both on the application and on the methodological level. 1
Ph.D. (fully financed) and 1 post-doc position (1 year with possible
extension).

2) Demand-responsive transit systems: (a) improvement of the
decision-making process and (b) improvement of the solution methodology via
predictive methods. 1 Post-doc position (2 years).

3) Real-time optimal order placement strategies and limit order trading
activities. 1 Intern or post-doc position.

Students are expected to carry out top-level research. We are looking for
candidates with degrees in Computer Science, Operations Research, Applied
Mathematics, Statistics, or related fields. Candidates should have a
background in machine learning, operations research, or in both. Fluency,
or at least a willingness to learn about mathematical programming and
modern machine learning would be ideal. They should demonstrate good
programming and mathematical skills.

Student supervision depends on the projects and will be held jointly by
professors from the University of Montréal, HEC Montréal and ESG UQAM. All
professors involved are part of at least one of the following research
centers: the Montreal Institute of Learning Algorithms (MILA), the Canada
Excellence Research Chair in Data Science for Real-time Decision-Making
(CERC-DS4DM), and the Interuniversity Research Centre on Enterprise
Networks, Logistics and Transportation (CIRRELT). Students involved in the
first two projects will be part of those centers.

Montreal is a dynamic Metropolis, located in the province of Québec,
Canada. The city is bilingual (French/English) and known for its
international atmosphere. Montreal is known for being a vibrate research
environment, hosting 5 major universities and several research centers in
the domains of Operations Research and Machine Learning.

To apply, please send your application package (recent CV, name of two
references, recent grade records, and if applicable, your national
competition ranks) to sanjay.jena@cirrelt.ca, clearly indicating the
project(s) and position(s) you are applying to, as well as your possible
and preferred starting dates.

MILA:
http://www.mila.umontreal.ca/

CIRRELT:
http://www.cirrelt.ca/

CERC-DS4DM:
http://cerc-datascience.polymtl.ca/

Toggle description

Position: Research Scientist on Network Optimization (Operations Research)

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 Operations Research to commence by the end of the year.
The research will focus on developing algorithms and novel network
analysis and decision schemes to drive research and innovation in the
context of network optimization.

Major Responsibilities:

Responsible for theory exploration, advanced algorithm design,
analysis, and performance evaluation to meet challenging business
requirements.

Analyze business requirements and follow technology evolutions

Collaborate with other units to ensure the successful exploitation of
research outputs.

Generation of intellectual property through the patenting of ideas.
Propose and publish research in major research publications worldwide.

Create and maintain strong collaborative associations with
university-based researchers, other leading research bodies, business
units and government agencies.



Required Degree: PhD English: Operational



Specific Requirements:

Candidates must have a strong background in Operations Research in the
context of network optimization, routing and resource allocation. In
addition, the following skills and experiences are highly desirable:

PhD Degree in Applied Mathematics, Telecommunication or Computer Science

Solid background on discrete optimization theory, combinatorial
optimization and robust methods

Good knowledge on linear programming (e.g., b&b, pricing, decomposition methods)

Good knowledge of graph theory

Experience in the design of exact and approximation algorithms to
solve network problems.

Knowledge on optimization under uncertainty (e.g., robust, stochastic
programming)

Solid experience with optimization tools (CPLEX, Gurobi, Coin-OR,
Xpress, Matlab)

Proficiency with low-level development languages (C/C++).

Solid theoretical experience and a good publication record in
operations research.



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 telecom networks, devices and cloud computing. We are
committed to creating maximum value for telecom operators, 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.

The Huawei France Research Center (FRC) in Paris is responsible for
advanced research in the fields of Algorithm and Software design,
Aesthetics, MBB & Home device and Parallel Computing, to create and
design the innovative technologies and software platforms for our
Brand.

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: recruitmentrd@huawei.com

Please enclose your CV in English together with publication list.

If your profile matches with the requirements, you will be contacted
within 3 weeks.

Otherwise, please consider that your application was not selected.

Toggle description

UNIVERSITY OF KENT

KENT BUSINESS SCHOOL

Postdoctoral Research Associate in Optimisation

Applications are invited for a postdoctoral researcher associate (PDRA) position in the area of Optimisation. The PDRA will join the Management Science group of the Kent Business School and work on a prestigious multi-disciplinary project funded by the British Academy’s Global Challenges Research Fund: Cities and Infrastructure programme and led by Dr Scaparra. The project, titled “Optimal investment strategies to minimize flood impact on road infrastructure in Vietnam”, focuses on development of multi-period optimisation models for strategic, long-term planning of mitigation actions against flood disasters in urban areas using the city of Hanoi as a case study. The project will involve close collaboration with Vietnamese researchers, government agencies, and industry stakeholders.

Applicants are expected to hold a PhD in Operational Research / Management Science, Mathematics, Computer Science or a closely related discipline. The ideal candidate will have a firm knowledge of integer programming and heuristic methods and a demonstrated interest in infrastructure planning, transportation and logistics. Good computer programming experience as well as excellent written and communication skills is essential. Applications will be assessed based on relevant skills and previous publication record.

Salary: £33,518 - £38,833 (Grade 7)

How to Apply

Applications should include all of the following materials:

A short cover letter explaining your specific interest in the research project, relevant training and skills
A curriculum vitae (CV)
Names and contact information of two potential references who can supply letters of support if short-listed for the position


Informal enquiries may be directed by email to: Dr Maria Paola Scaparra at m.p.scaparra@kent.ac.uk
Completed applications should be received no later than: 1st March 2018

Interviews are expected to be held: 20th March 2018

Expected start date: asap

Toggle description

The Center for Computation and Technology of Louisiana State University is looking for a Postdoctoral Researcher in the field of Combinatorial Optimization.

The successful candidate will work under the supervision of Stefan van Zwam on algorithms for automated data tiling in high-performance computing environments. The work forms part of the multidisciplinary project ``Phylanx: A Distributed Array Toolkit.'' See http://phylanx.stellar-group.org for more information on the project. The position is initially for one year, and is expected to be renewed for up to three years subject to satisfactory progress and continued project funding. The starting date can be negotiated, but sooner is better.

Required qualifications:
* A PhD in Computer Science or Mathematics with a focus on Combinatorial Optimization or Algorithms.

Desired qualifications:
* Experience with the design of approximation algorithms
* Affinity with applications as well as theory
* A strong publication record
* Ability to work in a large team
* Strong communication skills

Helpful qualifications:
* Knowledge of the computational needs of Big Data applications
* Knowledge of Machine Learning algorithms
* Programming experience in Python and C++
* Experience with High-Performance Computing and/or Cloud Computing

To apply, submit the following:
* A cover letter of no more than 2 pages addressing the qualifications listed above
* A CV including publication record
* At least three letters of recommendation
* One or two representative publications

Review of applications will begin on March 1st, and will continue until the position has been filled. Feel free to contact svanzwam@math.lsu.edu (senior researcher) or aserio@cct.lsu.edu (project manager, CCT contact) with any questions.

Toggle description

L'Istituto Veneto di Scienze, Lettere ed Arti con fondi messi a disposizione dalla famiglia del prof. Gianpiero Brunetta, bandisce a concorso un premio di € 2.500 (duemilacinquecento) in memoria del figlio Lorenzo, per una tesi di dottorato conseguita negli anni solari 2015-2016-2017 nell'ambito della Ricerca Operativa, preferibilmente in uno dei seguenti temi, particolarmente cari a Lorenzo Brunetta:

Combinatorial Optimization,
Integer Linear Programming,
Polyhedral Combinatorics,
Models and Algorithms for Air Traffic Flow Management,
Models for Airport Performance and Capacity Evaluation,
Models and Algorithms for Cutting and Packing Problems,
Models and Algorithms for Telecommunication Systems.

Le domande per la partecipazione al concorso dovranno essere inviate on line, con oggetto "Premio Lorenzo Brunetta", alla Presidenza dell'Istituto Veneto di Scienze, Lettere ed Arti (premiconcorsi@istitutoveneto.it) entro il 16 febbraio 2018. L'avvenuto ricevimento della domanda sarà comunicato, via posta elettronica, dalla Segreteria dell'Istituto. Il candidato verificherà di aver ricevuto tale comunicazione a conferma del corretto inoltro della domanda.
Le domande saranno corredate, in allegato, dai seguenti documenti in PDF:
- curriculum vitae et studiorum;
- copia della tesi di dottorato.
Ai candidati si chiede di allegare alla tesi di dottorato anche una sintesi della propria ricerca in cui siano messi in evidenza, dal loro punto di vista i risultati e le novità del loro contributo.

I lavori presentati saranno giudicati da un'apposita commissione, nominata dall'Assemblea dell'Istituto Veneto, il cui giudizio è insindacabile. Una sintesi della relazione sarà pubblicata negli «Atti» dell'Istituto. Il vincitore si impegna a consegnare una copia a stampa della tesi di dottorato, che sarà conservata nell'archivio dell'Istituto.

Il premio sarà conferito al vincitore in occasione dell'adunanza solenne di chiusura dell'anno accademico 2017-2018.

Toggle description

BANDO DI CONCORSO PER IL CONFERIMENTO DI N. 1 ASSEGNO PER LA COLLABORAZIONE AD ATTIVITÀ DI RICERCA NELL’AREA SCIENTIFICO DISCIPLINARE DI SCIENZE MATEMATICHE E INFORMATICHE (SSD MAT/09) SUL TEMA DI RICERCA “METODI DI DATA ANALYTICS E DI OTTIMIZZAZIONE PER LA PIANIFICAZIONE IN AMBITO TURISTICO”, DELLA DURATA DI N. 18 MESI, DEL COSTO LORDO AZIENDALE DI € 39.300,00.

Responsabile Scientifico: Prof.ssa Messina
Scadenza domande: ore 12:00 del 12/02/2018


La domanda di partecipazione alla selezione pubblica, nonché i titoli posseduti, i documenti e le pubblicazioni ritenute utili per il concorso, devono essere presentati, a pena di esclusione, per via telematica, utilizzando l’applicazione informatica dedicata alla pagina:

https://pica.cineca.it/unimib/bando-assegno-di-ricerca-18a003/

Si ricorda che allo scadere del termine utile per la presentazione delle candidature, il sistema non permetterà più l’accesso e l’invio della domanda