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Borsa di ricerca post laurea di 6 mesi
Settore concorsuale: 01/A6 Ricerca operativa
Settore Scientifico-Disciplinare: MAT/09 Ricerca operativa
Referente Scientifico: Prof.ssa M. Grazia Speranza

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Applications are invited from eligible candidates for one Research Fellow position in Operations Research, based at the University of Calabria (Italy).

The research context is the SMILE Project that aims at study, design and implement an integrated system of methodologies and technologies to improve performance and competitiveness of systems based on production on order, in accordance with the Industry 4.0 paradigm.
The objectives of the research focus on a sustainable production. They consist on defining optimization planning and scheduling models to support smart operator’s activities (OR5), and machine learning approaches and inferential statistics methodologies for technological ramp up of a Brilliant Factory (OR8)

This full-time position is for 18 months.

Details at the link
https://unical.portaleamministrazionetrasparente.it/moduli/downloadFile.php?file=oggetto_allegati/21158844220O__ODIMEG_205_21_assegno_MAT09.pdf

Rosita Guido, PhD

Università della Calabria
Dipartimento di Ingegneria Meccanica, Energetica e Gestionale
email: rosita.guido@unical.it

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University of Louisville Research Manager Position – Logistics and Distribution Institute (LoDI)

The Logistics and Distribution Institute (LoDI), at the University of Louisville (UofL), is seeking a high quality candidate in the area of Artificial Intelligence, Machine Learning or related fields with applications in healthcare data. LoDI is a university-wide institute officially under the office of Executive Vice President for Research and Innovation (EVPRI).

Details regarding job responsibilities, qualifications, LoDI and UofL can be found from the link on the right.

Interested applicants are invited to apply online at
https://hrprpt.louisville.edu/psp/ps/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&SiteId=100&JobOpeningId=41243&PostingSeq=1

Review of applications starts immediately.

All questions should be directed to Dr. Lihui Bai at Lihui.Bai@louisville.edu. Please refer to Job ID: 41243.

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There is a PhD Candidate position available at the Department of Industrial Economics and Technology Management within optimal design and operation of CCS value chains with focus on interaction between different industries and the power sector.

The position is resident at NTNUs campus in Trondheim. This is an educational position, which will provide promising research recruits the opportunity for professional development through studies towards a PhD-degree. The position is connected to the PhD program at the Faculty of Economics and Management and the faculty will be your employer.

The position will be part of the Managerial Economics, Finance and Operations Research section. It will be linked to the The Norwegian CCS Research Centre (NCCS). NCCS is a Centre for Environment-Friendly Energy Research. NCCS aims to fast-track carbon capture and storage (CCS) by working closely with the industry on research that addresses major barriers in making CCS happen in Norway, Europe, and the world.

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The PhD program in Applied Economics and Management (AEM) is run jointly by University of Pavia (Department of Economics and Management) and University of Bergamo (Department of Management, Information and Production Engineering and Department of Management, Economics and Quantitative Methods).

The AEM program offers PhD students a wide range of skills, both instrumental and specialized, in the fields of Economics and Management. The program provides acquisition of high competence skills in quantitative analysis, with a widespread coverage of techniques. The main focus is on data analysis, with applications to:

companies and businesses having information regarding customers
industry regulation and cost-benefit analysis
business performances and competitive strategies
economics applied to market analysis.
PhD students will learn how to deal with the growing economic complexity in business and economic analysis deriving from the greater interactions and interdependencies in socio-economic and financial relationships. The research activity performed during the program will have high scientific standard and give rise to developments in basic and applied research starting with interdisciplinary training.

The AEM PhD programme qualifies as "Innovative" according to the Italian Ministry of University and Research (MIUR) Guidelines since it fulfils the requirement "International PhD", having a 25% share of the Faculty composed by academics working for international universities. Teaching and research activities will be delivered and develop in English.

The PhD program is based on a three-year research activity. It is coordinated by the Faculty Committee, which is also responsible for selecting each PhD student's supervisor. The Committee periodically verifies in Research Workshops that the students successfully fulfil all the requirements to achieve the final degree.

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Copenhagen Business School invites applications for a vacant two-year postdoc in Machine Learning in Economics and Decision Sciences at the Department of Economics.
The Department of Economics provides research, teaching and knowledge transfer within the core areas of economics, i.e., microeconomics, macroeconomics, and quantitative methods. The Department is especially active in business-related, applied economic research, data-driven decision-making, and has three research centres: Centre for Innovation (CFI), Pension Research Centre (PeRCent) and Copenhagen School of Energy Infrastructure (CSEI). The Department of Economics is very successful in fundraising activities, and it is currently hosting research projects supported by the Danish/EU research councils, as well as private foundations and companies.
The postdoc is a non-tenured position for a two-year period with a research obligation and a well-defined and limited teaching obligation. While also continuing to pursue their own research interests, the postdoc will work with the group of Prof. Dolores Romero Morales, who has leading expertise in, among others, Transparency in AI, Interpretable Machine Learning and the role of Mathematical Optimization in these fields, and is the coordinator and scientific leader of the EU H2020 MSCA RISE European Network of Data Scientists project, www.riseneeds.eu. There are many possible topical backgrounds of candidates, including machine learning, visualization, AI, etc.
To fulfill the requirements of the position, the applicant chosen is expected to be physically present on a regular basis and actively participate in the teaching and research activities of the Department.
CBS and departmental responsibilities
Research, including responsibility for the academic development of the relevant discipline.
Publishing, scientific communication and research-based teaching.
Active participation in research activities, such as research seminars, workshops and conferences.
Teaching and associated examination in CBS programs.
Promoting CBS’s academic reputation.
Initiating fund raising and coordinating research projects.
Contributing to administrative responsibilities of the Department and CBS-wide tasks.
Communicating findings to the public in general and to CBS’s stakeholders in particular, including participating in the public debate.
Qualifications
The applicant should have a background in either Economics, Operations Research, Mathematics, or Applied Statistics, and must hold a PhD or the equivalent.
Documented research track record at international level, including publications in recognized journals in the field.
Documented pedagogical qualifications or other material for the evaluation of the pedagogical level.
The applicant must be proficient in English (written and spoken).
Copenhagen Business School is committed to the excellence, distinctiveness and relevance of its teaching and research. Candidates who wish to join us should demonstrate enthusiasm for research, teaching, and dissemination in their field.
For further information please contact: Prof Dolores Romero Morales, www.cbs.dk/en/staff/drmeco, e-mail drm.eco@cbs.dk.
Information about Copenhagen Business School is available at http://www.cbs.dk, and about the Department of Economics can be found at www.cbs.dk/econ.
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Central Academic Organisation.
Application
Application must be sent via the electronic recruitment system, using the link below.
Applications must include:
A cover letter (no more than 2 pages).
A full CV.
Proof of academic qualifications.
Documentation of relevant, significant, original research at an international level, including publications in internationally recognized journals and citations in the Social Science Citation Index and/or Google Scholar.
Information indicating experience in research management, industry co-operation and international collaboration.
Complete, numbered list of publications (indicating titles, co-authors, page numbers and year), with an * marking of the publications to be considered for the review. A maximum of 5 academic works (journal papers, book chapters, books) published or forthcoming are allowed.
Copies of the academic works to be considered during the review. Only publications written in English or one of the Scandinavian languages will be considered.
Documentation of pedagogical qualifications or related material.
Recruitment procedure
The Recruitment Committee will shortlist applicants; when possible at least two and preferably five or more applicants will be shortlisted. The shortlisted applicants will be assessed by the Assessment Committee. All applicants will be notified of their status in the recruitment process shortly after the application deadline. The applicants selected for assessment will be notified about the composition of the Assessment Committee and later in the process about the result of the assessment.
Once the recruitment process is completed each applicant will be notified of the outcome of their application.
Closing date: 7 May 2021.
Copenhagen Business School must receive all application material, including all appendices (see items above), by the application deadline.
Details about Copenhagen Business School and the department are available at www.cbs.dk.
Closing date: 7 May 2021.
Apply online

With some 20.422 full and part-time students, 644 full-time faculty members, 192 PhD and 724 administrative staff CBS is a unique business-oriented university with a full portfolio of Bachelor, Masters, MBA/EMBA, PhD and Executive programmes delivered in English and Danish. Our academic staff includes internationally-recognised experts in classical business disciplines as well as in philosophy, history, psychology, sociology, law, political science, information systems and culture.
The University welcomes applications from suitably qualified candidates regardless of age, gender, race, religion or ethnic background.

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Call for applications for a tenure-track position as associate professor at the Department of Economics - Ca' Foscari University of Venice, Italy

The Department of Economics is actively searching for brilliant and promising scholars to fill one tenure-track position (ricercatore RTD-B).

The research activity will concern themes related to Mathematics for Economics, Finance, Social and Actuarial Sciences (including models and
mathematical methods for decision theory, risk and uncertainty management, agent models and computational methods). Teaching
commitment: excellent teaching skills are required to deliver courses, within the terms provided for by the University regulations, at the
three-year degree, master's degree and PhD level (in Italian and English). In particular: Mathematics - modules 1 and 2; Financial
mathematics; Computational tools for economics. The researcher may also be assigned managerial and organizational tasks to be carried out in the
Department.

Detailed additional information is at https://www.unive.it/data/38002/?id=2021-UNVE000-0022725

Informal queries may be directed to prof.ssa Antonella Basso, basso@unive.it and prof. Paolo Pellizzari, paolop@unive.it.

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Lund University, Faculty of Engineering, Department of Technology and Society

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Lund University, Department of Technology and Society, Division of Transport and Roads, conducts research and provides higher education within the field of transport planning. Increasingly, the division is conducting research into railways: how to understand and reduce train delays, how to plan better timetables, how to realistically simulate operations, and more. In order to strengthen our division in this regard, we offer a post-doctoral position.

We are looking for a researcher with a solid background in railway planning and analysis. We foresee a person who is interested in developing new approaches, in working closely with other researchers, industry and wider society, and in further expanding the railway research efforts of the division.

Subject description This research position focusing on railway capacity and punctuality is intended to address research on interlinkages between train delays, timetabling, and simulation (micro and macro) for both freight and passenger trains. The expected approach is quantitative and data driven, requiring knowledge in handling empirical delay data and distributions, timetabling, an understanding of railway simulation approaches, as well as experience of database management.

Work duties The main duties involved in a post-doctoral posistion is to conduct research within the specified reaserch area. Teaching may also be included, but up to no more than 20% of working hours and is conducted on basic level, advanced level and postgraduate level. The position shall include the opportunity for three of training in higher education teaching and learning.

Detailed description of the work duties, such as:

Research within the subject area.
Teaching in the first, second and third cycles of studies.
Supervision of degree projects and doctoral students.
Actively seeking external research funding.
Collaboration with industry and wider society mainly in Sweden.
Administration related to the work duties listed above.
Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier.

Additional requirements:

Very good oral and written proficiency in English.
Documented interaction with European railway industry.
Documented skills that respond to the topic description. Programming and database management skills.

Assessment criteria and other qualifications This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject. For appointments to a post-doctoral position, the following shall form the assessment criteria:

Good ability to develop and conduct high quality research.
Teaching skills.
Additional assessment criteria:

Good ability to seek and acquire external research funding.
Good ability to collaborate with industry and wider society in Sweden.
Good ability to work with data from the Swedish Transport Administration.
Oral and written proficiency in any scandinavian language.
Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
This is a full-time, fixed-term employment of a maximum of 2 years. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”) between Lund University, SACO-S, OFR/S and SEKO, dated 4 September 2008.

Instructions on how to apply Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link below. Upload the application as PDF-files in the recruitment system. Read more: http://www.lth.se/english/working-at-lth/to-apply-for-academic-positions-at-lth/

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

To apply, please click the button "Login and apply"

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment according to agreement
Salary monthly
Number of positions 1
Working hours 100
City Lund
County Skåne län
Country Sweden
Reference number PA2021/998
Contact
Lena Hiselius, +46462229748
Union representative
OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
SEKO: Seko Civil, 046-222 93 66
Published 21.Apr.2021
Last application date 05.May.2021 11:59 PM CET

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At the Department of Sciences and Methods for Engineering, Univeisity of Modena and Reggio Emilia, it is open a selection for a young research position.

The research concern the design and implementation of optimization algorithms for a production planning and scheduling problem of the company Elettric 80 (https://www.elettric80.com/en/).

The candidate will work in a very dynamic environment in a mixed group including professors of the Department , personnel of the Company and consultants from a top international consultancy agency working at a SAP/MES implementation in the Company.

The resulting algorithm must be tested for daily planning of the company.



The working site is Reggio Emilia (Italy) and Viano (RE).

We require knowledge in optimization and operations research, very good programming skills, knowledge of software engineering, a master degree in engineering, information science, mathematichs, physics or statistics.

We offer a yearly research grant, with possibility to extend for a second year.

Applicants can send a curriculum to mauro.dellamico@unimore.it

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This is a full-time open ended academic position at the Sheffield University Management School. We invite applications from candidates who can deliver excellent research within the broad area of Operations Management, Operational Research, Logistics and Supply Chain Management and/or Information and Decision Sciences. Please apply online.

Please apply online. For information: a.sgalambro@sheffield.ac.uk

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The Huawei Cloud Business Unit at the Munich Research Center is looking for a Team Lead and multiple (Senior) Researcher positions in Mathematical Programming.

Main Responsibilities

- Research, design, implement, and improve a highly-efficient general-purpose optimization solver for Linear Programming, Mixed Integer Programming, and Constraint Programming problems
- Convert customer demands into solver features end-to-end, including definition, implementation, testing, and documentation
- Code reviews, presentations (internal and public)

Requirements

- M.S. or Ph.D. in operational research, mathematics, computer science, or similar technical field
- In-depth understanding of optimization algorithms for linear programming and mixed integer programming. Extensive experience in implementation of these algorithms
- Experience in algorithm design and implementation in C/C++
- Good knowledge of Python and Java is a plus
- Experience in concurrent/distributed/parallel computing is a plus
- Direct experience of using commercial or open-source optimization solvers, such as SCIP, CPLEX, GUROBI and CBC is a plus
- Experience in industry problem solving is a plus
- Working experience in major commercial optimization programming solver companies is highly preferred
- Major contributors or project leaders of open-source optimization solvers like SCIP, CBC are highly preferred
- Major contributors or project leader of high performance mathematical software, numerical linear algebra package (commercial or open-source) are preferred
- Fluent in written and spoken English

The official job posting and application link can be found at: https://apply.workable.com/huawei-16/j/7786DFD797/

Feel free to contact me directly for (informal) inquiries at victor.m.alvarez@huawei.com.

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General Description
The Department of Industrial Engineering at the University of Louisville is seeking a research scientist for research activities in the general area of additive manufacturing and data analytics. This is a 1-year appointment with extension for another year. This position will be under the immediate supervision of Dr. Li Yang, but will interact extensively with other faculty and staff in the Department of Industrial Engineering and the Additive Manufacturing Institute and Science and Technology (AMIST).
Essential Duties and Responsibilities
This position is expected to collaborate with faculty in the Department of Industrial Engineering and more broadly with other members in AMIST. The Department was one of the first departments at University of Louisville that initiated additive manufacturing research. The AM faculty in the department are involved in the research and development of multiple areas in additive manufacturing including:
1. Integrated design for additive manufacturing
2. Novel structure concepts for additive manufacturing-enabled designs
3. Modeling-based quality characterization of additive manufacturing processes and structures
4. Supply chain and logistics in additive manufacturing
5. Data analytics in additive manufacturing for decision making and optimization
At AMIST, over 25 members including faculty, staff and research students are currently involved in various aspects of additive manufacturing research and development, including process science, new material concepts, structural designs, material characterization, applications in biomedical, energy and aerospace fields, workforce training, and logistics. Members of AMIST are affiliated with multiple departments within Speed School of Engineering as well as in Schools of Dentistry and Medicine.
For this position, some specific responsibilities include:
- Developing/writing research proposals for submission to federal and state agencies, with the opportunity to lead them (e.g., as principal investigator);
- Engaging in research initiative efforts for existing and new research projects, and leading and executing preliminary research projects in related areas;
- Mentoring graduate and undergraduate research students;
- Teaching (in regular/virtual classroom setup) courses related to additive manufacturing principles, process and
structure design considerations, data analytics, and qualification of additive manufacturing processes and materials.
This position is anticipated to exhibit independent research attitude as a senior personnel in the IE department’s AM research cluster.
Minimum Requirements
This position requires a PhD degree in Industrial Engineering, Mechanical Engineering, Materials Science, Computer Science, or a closely related field. Experiences with hands-on experimentation and theoretical modeling/analysis are both required due to the multi-disciplinary nature of this position.
Preferred Qualifications
The preferred candidates should demonstrate extensive research experience in the areas of additive manufacturing, data modeling and design theories, experiences in successful proposal writing and journal publication, and experiences in teaching. The interested applicants are strongly encouraged to communicate with the search committee chair, Dr. Li Yang (li.yang.1@louisville.edu) for additional discussions about the alignment of individual’s research interest and the focus of this position.
Department of Industrial Engineering, University of Louisville • Louisville, KY 40292
P: 502.852.6342 F: 502.852.5633 W: https://engineering.louisville.edu/academics/departments/industrial/

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Employer

As a test and applied research centre in the railway sector, the IRT Railenium (http://railenium.eu/fr/) aims to develop, through collaborative innovation, the competitiveness of companies as engines of growth and jobs. Railenium implements innovation partnerships between manufacturers (in the broad sense: infrastructure managers, operators, builders and engineers) and academia to ensure a high-level response to the challenges of the railway sector. Based in the Hauts-de-France region, supported by the State and the railway sector, and acting in synergy with the i-Trans competitiveness cluster on land transport, the IRT is backed by a network of excellence centres and research laboratories.
Through the SmartRaCon consortium, composed with the German Research Centre DLR (leader of the consortium), the Spanish Technology Centre CEIT and the British Company NSL, Railenium is an Associate Member on Innovation Programme (IP) 2 (Advanced Traffic Management and Control Systems) of the Joint Undertaking Shift2Rail.
SmartRaCon is the only partner coming from academia.
Position and assignments

This 18-month position is part of the X2Rail-4 projects and will be held by Railenium for a work with University Gustave Eiffel laboratories. In this project, WP8 deals with real-time railway traffic management in case of perturbation.
Railenium’s contributions concern the proposal of an optimization algorithm to manage traffic on very large networks.
Start : As soon as possible
Annual gross salary : ~ 35 k€/an
Geographic mobility: European
Profile

Knowledge

PhD in operations research, computer science, artificial intelligence, applied mathematics or equivalent
Optimization
Statistical methods
C++ development
Fluent in English
Know-how
Sense of initiative, Autonomy / teamwork
Excellent relationship
Creativity, rigor, organization
Self-training capacity
Synthesis, reactivity
Availability (travel required)
Writing skills
Goals

Work description:
Design and development of optimization algorithms for the solution of the real-time railway traffic management problem on very large networks
Participation in various coordination meetings;
Possible participation to project meetings with all European partners;
Production of deliverables and scientific publications.
Detailed missions:
Design algorithms capable of coordinating the somehow independent optimization of traffic in local areas;
Implement the design algorithms in C++ with interface to CPLEX;
Organize data made available from partners of the project;
Run experiments for assessing the performance of the proposed algorithms;
Analyse the results using statistic tools to establish the best algorithm;
Simulate the results on a railway microscopic simulator (OpenTrack)

Contact persons:
Paola Pellegrini, tel. : +33 (0)3.20.43.84.04, e-mail : paola.pellegrini@univ-eiffel.fr
Joaquin Rodriguez, tel. : +33 (0)3.20.43.83.32, e-mail : joaquin.rodriguez@univ-eiffel.fr
Application procedure :
Via email:
- detailed CV (education, work experience, internships, research projects carried out, publications)
- copy of the most relevant publications
- motivation letter explaining how the candidate's CV fits the position requirements and indicating the possible links of the publications chosen with the job description
- one or more recommendation letters

Paola Pellegrini
Research Director in computer science
Deputy director of COSYS-LEOST laboratory

Image result for logo université gustave eiffel

+33 (0)3 20 43 84 04
20, rue Élisée Reclus
BP 70317 F-59666 Villeneuve d'Ascq Cedex • FRANCE

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At Kantar Trade Optimisation, we understand large FMCG players like nobody else. We are a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide. Our mission is to partner with our customers to unlock growth through smart investment and ensure that they take the right steps to drive more sales, optimizing their promotional plans.

To continue making data accessible and help our clients make strategic business decisions, we are seeking a Senior Data Engineer to join our data-lovers team in Bologna or Milan.

In this role, you will be handling the design and construction of scalable data management systems, ensure that all data systems meet company requirements, and research new uses for data acquisition. You will have to identify and apply advanced analytics techniques in a big data paradigm and drive the integration in our Kantar data science product portfolio. Furthermore, you will be dealing with a variety of global FMCG clients, building underlying infrastructure for Machine Learning and Operations Research engines, and using distributed computing architectures. You will also design and implement new AI solutions applying a range of different methodologies and best-in-class technologies.

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At Kantar Trade Optimisation, we understand large FMCG players like nobody else. We are a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide. Our mission is to partner with our customers to unlock growth through smart investment and ensure that they take the right steps to drive more sales, optimizing their promotional plans.

To continue making data accessible and help our clients make strategic business decisions, we are seeking a Senior Data Science Consultant to join our data-lovers team in Bologna or Milan. In this role, you will have to identify and apply advanced analytics techniques in a big data paradigm, drive the integration in our Martech solutions (aka Sales Performance Platform), and assist global FMCG companies in making smarter business decisions.

Your mission will be to find patterns within data, leveraging various statistical techniques to analyze and draw insights from the data with the ultimate goal to transform the way our clients derive value from its data assets. From data extraction, wrangling and pre-processing, you will scrutinize the data thoroughly and make predictions from them. Furthermore, you will design and implement new predictive analytical solutions applying a range of different methodologies and best-in-class technologies.

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We are scouting for candidates for a Post. Doc. position (Assegno di Ricerca) at University of Bologna.

The candidate will have to work on topics related to the integration of Optimization and Machine Learning on dynamic data, including dynamic density maps and time series from predictive maintenance applications.

Aspiring candidates are expected to have familiarity with Machine Learning (especially differentiable methods, such as Neural Networks) and/or Discrete Optimization (such as Mixed Integer Linear Programming, SAT Modulo Theories, or Constraint Programming). Candidates should also be willing to tackle industrial research topics. A PhD title is not required, but it would be an advantage.

The contract will last 1 year with renewals being possible. The Net Annual Income will be between ~20k€ and ~23k€, depending on the candidate level, while the Gross Annual Income will be in the ~23k€ -- 26k€ range. Research activities will be in Bologna, pending feasibility given the epidemic containment regulations.

Interested persons should contact me at michele.lombardi2@unibo.it

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PhD scholarship in operations research under the supervision of Dominique Feillet, Maxime Ogier and Frédéric Semet
at INRIA Lille / Centrale Lille (France) for a period of 3 years.

Ph.D. Title: Batching and picker routing problems in warehouses taking into account human factors

Short description:

This Ph.D. thesis deals with the modeling and solving of batching and routing problems in warehouses taking into account human factors. Usually, the objective of these problems is to minimize the total traveled distance, and the constraints consist in satisfying customer orders. However, pickers have to face a variety of difficulties during their working days such as painful picking operations and congestion in aisles. The objectives of this thesis aims to propose mathematical models that describe batching and routing problems integrating human factors, and develop efficient solving.

More information can be obtained from : https://team.inria.fr/inocs/job-offers/

or contact : dominique.feillet@emse.fr / frederic.semet@centralelille.fr

Requirements:

Applicants must have a Master Degree (or equivalent) in Computer Sciences, Applied Mathematics, or any related discipline. Applicants should demonstrate good programming skills and a deep knowledge in combinatorial optimization and integer programming.

Best regards,
Dominique Feillet, Maxime Ogier, Frédéric Semet.

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Posizione da ricercatore RTDB in Ricerca Operativa presso il Dipartimento di Ingegneria Civile ed Informatica dell’Università di Tor Vergata (Roma) (link accanto).

Il concorso sarà completamente aperto e volto a selezionare la persona più brava e ambiziosa tra quelle che si candideranno. Nessuno di noi ha conseguito la laurea o il PhD a Tor Vergata e l’ideale sarebbe che la nuova ricercatrice o il nuovo ricercatore siano portatori di idee e approcci diversi dai nostri.

Per info:
Gianpaolo Oriolo: oriolo@disp.uniroma2.it
Andrea Pacifici: andrea.pacifici@uniroma2.it
Veronica Picciallli: veronica.piccialli@uniroma2.it

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We are looking for two highly motivated and bright PhD students with a
strong expertise and interest in graph and network algorithms in
particular, and in theoretical computer science in general, to join our
team around our project on “Fast Algorithms for a Reactive Network Layer”.

Traditionally and still today, communication networks are operated in a
rather static and conservative manner. This has good reasons:
communication networks constitute a critical infrastructure of our
digital society, and dynamic optimizations always come with risks of
instabilities or even outages. However, it is also known that in principle
a more dynamic network operation can greatly improve the efficiency of
networks: empirical studies show that communication traffic contains
much structure, i.e., it is bursty and skewed. More dynamic network
operations are also useful to support adaptive policy changes, service
relocations, or emerging “self-driving networks". This project is
motivated by the desire to leverage the benefits of more flexible
network operations but without sacrificing the reliability guarantees of
more conservative operations. In fact, we believe that a more adaptive
network operation can even improve the dependability of a network.

We aim to lay the theoretical and algorithmic foundations of more
adaptive networks, using algorithmic tools from dynamic graph
algorithms, approximation algorithms, online algorithms and distributed
algorithms. In addition to our theoretical contributions, we also aim to
show the practical importance of our approaches (possibly in
collaboration with an Internet Service Provider).

The positions are 30h/week and shared by the research groups “Theory and
Applications of Algorithms”, led by Univ.-Prof. Dr. Monika Henzinger,
and “Communication Technologies”, led by Univ.-Prof. Dr. Stefan Schmid.
Both research groups are internationally well-known and received ERC
grants in the past.

For more information, please contact Prof. Henzinger and Prof. Schmid by
email.

The application submission is handled online under
https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/ but
you can also submit your application material by an email addressed to
both professors.

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At TU Dresden, the Chair of Machine Learning for Computer Vision invites
applications for a

Postdoc Position: Discrete Optimization for Machine Learning

Salary level: TV-L E14, 100%

Tasks:
- Pursuit of an excellent independent research agenda in the area of
discrete optimization for machine learning
- Blue skies, curiosity-driven research
- Publication of findings in internationally leading conferences and
journals
- Co-supervision of doctoral students
- Acquisition, management and execution of third-party funded research
projects
- Support to teaching.

Requirements:
- University and doctoral degree in mathematics or computer science or a
related discipline
- Excellent research in the area of discrete optimization, certified by
recent publications in highly ranked conferences and journals
- Excellent research agenda in the area of discrete optimization for
machine learning
- Teaching experience
- Very good scientific writing and communication skills in English.
Knowledge of German is not required for this position.

Application documents: CV, list of publications, brief research
statement, degree certificates, transcript of records (preferably as a
single PDF file)

Further information: https://mlcv.inf.tu-dresden.de/positions.html

Contact: mlcv@tu-dresden.de

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Employer
As a test and applied research centre in the railway sector, the IRT Railenium (http://railenium.eu/fr/) aims to develop, through collaborative innovation, the competitiveness of companies as engines of growth and jobs. Railenium implements innovation partnerships between manufacturers (in the broad sense: infrastructure managers, operators, builders and engineers) and academia to ensure a high-level response to the challenges of the railway sector. Based in the Hauts-de-France region, supported by the State and the railway sector, and acting in synergy with the i-Trans competitiveness cluster on land transport, the IRT is backed by a network of excellence centres and research laboratories.
Through the SmartRaCon consortium, composed with the German Research Centre DLR (leader of the consortium), the Spanish Technology Centre CEIT and the British Company NSL, Railenium is an Associate Member on Innovation Programme (IP) 2 (Advanced Traffic Management and Control Systems) of the Joint Undertaking Shift2Rail.
SmartRaCon is the only partner coming from academia.

Position and assignments
This 18-month position is part of the X2Rail-4 projects and will be held by Railenium for a work with University Gustave Eiffel laboratories. In this project, WP8 deals with real-time railway traffic management in case of perturbation.
Railenium’s contributions concern the proposal of an optimization algorithm to manage traffic on very large networks.

Start : As soon as possible
Annual gross salary : ~ 35 k€/an

Geographic mobility: European

Profile
Knowledge

PhD in operations research, computer science, artificial intelligence, applied mathematics or equivalent
Optimization
Statistical methods
C++ development
Fluent in English
Know-how

Sense of initiative, Autonomy / teamwork
Excellent relationship
Creativity, rigor, organization
Self-training capacity
Synthesis, reactivity
Availability (travel required)
Writing skills
Goals
Work description:

Design and development of optimization algorithms for the solution of the real-time railway traffic management problem on very large networks
Participation in various coordination meetings;
Possible participation to project meetings with all European partners;
Production of deliverables and scientific publications.
Detailed missions:

Design algorithms capable of coordinating the somehow independent optimization of traffic in local areas;
Implement the design algorithms in C++ with interface to CPLEX;
Organize data made available from partners of the project;
Run experiments for assessing the performance of the proposed algorithms;
Analyse the results using statistic tools to establish the best algorithm;
Simulate the results on a railway microscopic simulator (OpenTrack)


Contact persons:
Paola Pellegrini, tel. : +33 (0)3.20.43.84.04, e-mail : paola.pellegrini@univ-eiffel.fr

Joaquin Rodriguez, tel. : +33 (0)3.20.43.83.32, e-mail : joaquin.rodriguez@univ-eiffel.fr

Application procedure :
Via email:

- detailed CV (education, work experience, internships, research projects carried out, publications)

- copy of the most relevant publications

- motivation letter explaining how the candidate's CV fits the position requirements and indicating the possible links of the publications chosen with the job description

- one or more recommendation letters

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This position is in the Product and Process Systems Engineering Group. The investigators are members of the Centre for Process Systems Engineering (CPSE), a joint centre between Imperial College London and University College London.

The remit of this role is within the £1.5M EPSRC project “Hydrogen Infrastructure Uncertainty Management for Heat Decarbonisation (HUMAN)”. The project considers tactical and operational decisions related to the deployment of a hydrogen-led system and its interaction with the power grid across spatial and temporal scales. Employing the tools developed within the project the optimal mix of electrification and hydrogen-based decarbonisation of heat will be explored for different regions in the UK.

Key responsibilities include:
•To develop and implement novel methods for multi-stage optimisation under uncertainty.
•To develop and implement machine learning approaches for quantifying and incorporating uncertainty considerations in optimisation problems.
•To develop and implement decomposition/iterative techniques for the solution of large-scale energy systems models.
•To plan and execute real options analysis of hydrogen supply infrastructure to account for and manage risk under different scenarios (including use of hydrogen only for transport, or use if for both transport and heat).
•Plan and prepare papers from own and related research to appropriate peer reviewed journals, international conferences and research seminars.
•Collaborate with other PDRAs and PhD student team members for exchange of knowledge, best practice, as well as to carry out coordinated pieces of research.
•Further information can be found at the Job Description document.

Duration of the role is for 24 months in the first instance.
Key Requirements
The successful candidate must have a PhD in Engineering, Operations Research or Computer Science with advanced understanding of supply chain optimisation and optimisation under uncertainty is required. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post.

Proven publications track record in developing novel techniques for optimisation under uncertainty and/or the efficient solution of stochastic/robust optimisation programs. Experience in machine learning for uncertainty quantification and modelling. Experience with energy systems models (e.g. UK TIMES) and complex energy datasets. Proficiency with optimisation packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia) and maintaining online repositories (e.g. GitLab/GitHub). Candidates must have excellent communication and team-working skills, the ability to write high-standard reports and work collaboratively with colleagues to generate high-quality research outputs.

Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment Please note: appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,542 - £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Further Details
A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the ‘Apply Now’ button below.

If you have any queries regarding the vacancy or the application process, please contact Dr. Vasileios Charitopoulos at v.charitopoulos@ucl.ac.uk or Prof. Lazaros Papageorgiou at l.papageorgiou@ucl.ac.uk.

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The group of Management Informatics of the Universidad de Talca, Chile, is looking for talented (postdoctoral) researchers in the field of (robust/stochastic) mixed-integer programming (and its applications). Selected candidates are expected to contribute to the design and implementation of novel (exact and heuristic) solution methods to solve robust/stochastic mixed-integer programming problems (e.g., network design, scheduling, routing) emerging from different application areas (supply chain management, power systems engineering, healthcare management, natural resources management, among others).

We are looking for candidates with experience and interest in:
Coding and implementing exact and heuristic algorithms for solving (mixed-integer programming) optimization problems in C++.
Presenting and writing up academic papers.
Some experience with GIS is a plus.
This is a two-year position (with a possible extension to up to three additional years) and selected applicants are expected to join the group starting from March 2021 (although the start date can be negotiated within a relatively flexible time frame). A yearly budget for travel expenses, conference registration fees and other expenditures is also considered.

If you are interested and/or want more information about the position and application process, please contact Eduardo Álvarez-Miranda at ealvarez@utalca.cl and eduardo.alvmir@gmail.com

Eduardo Álvarez-Miranda

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The Department of Civil and Computer Science Engineering of Tor
Vergata University of Rome invites candidates to express their
interests for 1 full-time RTD-B Assistant Professor position
(Tenure-track) in Operations Research. The RTD-B Assistant Professor
position can be converted after three years into an Associate
Professor position if the national qualification (ASN) at the
Associate Professor level is obtained in the Academic Discipline
"Operations Research" (MAT/09) of the Italian University System.

Profile
Candidates will hold a PhD in an area close to OR, three years of
research experience after PhD, and an appropriate record of
publications in highly ranked international journals and conferences.
Teaching experience is also positively considered.

Position
Successful candidates will be able to pursue their own research
activities as well as to join ongoing research projects in the area of
Operations Research, will supervise Master Thesis and PhD students in
their fields, will teach in the Master degree in Computer Science
Engineering at Tor Vergata University of Rome, will be involved in
collaborations with industry and public bodies (if they like).
Appointments are full-time. The salary is competitive. We especially
welcome expression of interests from female scholars.

Expression of Interest
People who are interested in this position should send their CV to
oriolo@disp.uniroma2.it preferably by March 7th 2021. Please be aware
that bureaucracy is an issue in Italy and that there will be further
more formal steps to be taken after the expression of interest. Apart
from bureaucracy and a few other issues, Italy is not that bad :-)

Gianpaolo Oriolo: oriolo@disp.uniroma2.it

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The Deutsche Post Chair - Optimization of Distribution Networks (DPO) at RWTH Aachen University is recruiting a research associate on either PhD or postdoctoral level at the earliest possible date.
Teaching and research at DPO is devoted to the development of heuristic and exact algorithms for the solution and analysis of planning problems in logistics, especially in transportation, network design, location planning, and warehouse management.

We offer exciting and challenging teaching and research activities (also in the context of industry collaborations), in an open atmosphere with a young and highly motivated team.
The initial contract is for 3 years with the option to be extended.
This is a full-time position. The salary is based on the German public service salary scale (TV-L).
The successful candidate has the opportunity to pursue a doctoral degree (or a habilitation for postdocs).

Further details on the position and on the application process can be found here: https://www.dpo.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaaxaeswq
For questions, please contact Prof. Dr. Michael Schneider (schneider@dpo.rwth-aachen.de).