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Displaying opportunities 1 - 25 of 447 in total
Expires Title Institution Country Link Type
17 Jun 2022 2x Joint PhD positions Joint Imperial College + TUM

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We offer *two fully-funded* PhD positions joint between Imperial College London and the Technical University of Munich. These are excellent opportunities to pursue cutting edge research in a collaborative environment within two world-renowned universities.

Areas of core interest:
* OR / Convex Optimization / Combinatorial Optimization
* Online and Approximation algorithms
* Machine Learning, especially Structured Learning
* Game theory / Algorithmic game theory
* Control theory

For details, see job-ad: https://www.doc.ic.ac.uk/~dp414/JADS-ad.pdf. We are looking for outstanding PhD candidates with a solid mathematical / computer science (or similar) background, and enthusiasm for research. Interest in one of the areas above is desirable.

You can apply or reach out informally to us writing at applications@osm.wi.tum.de. Please include your CV, transcript of records, and two academic references.

Kind Regards,
Dario

--
Dario Paccagnan
Department of Computing
Imperial College London
https://www.doc.ic.ac.uk/~dpaccagnan

Imperial College and TUM United Kingdom and Germany Go Academia
22 Mar 2022 Data Scientist - Machine Learning

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Join Laava Tech as
Data Scientist - Machine Learning
and help us make vertical farming sustainable. Laava Tech is an Estonian start-up with a technology
to change indoor farming, a 100+ bn € industry. We develop energy-saving technology to help vertical
farms eliminate their biggest pain point - electricity consumption.

WE ARE LOOKING FOR SOMEONE WITH:
• Expertise in machine learning model development and deployment applications. Documented competence
in model deployment (GitHub project ,blogs, papers, etc.) for real-time model prediction
• Experience in Python programming language with packages such as Tensorflow, Keras, PyTorhch,
and Scikit-lear.
• Experience with Amazon Web Services or Microsoft Azure.
The ideal candidate has a Master‘s degree or a PhD in the field of computer science/electrical engineering
with specialization in machine learning. Experience in indoor farming or horticulture is a big advantage
for any applicant.
You‘ll need to be able to work independently and be proactive in your work. The software development
team at Laava Tech works with the values of responsibility, respect, integrity, and honesty, and we make
an effort to generate and maintain a positive working environment.
If you think you could be a good fit for this role, but don‘t have the experience or knowledge to cover all
of the requirements, don‘t hesitate to contact us - let‘s discuss and see if we can find a mutual fit.

WE CAN OFFER YOU:
• Competitive compensation - the range depends on your experience and your suitability to the role.
• Flexible working hours & location
• A flat structure with a lot of independence to make the decisions on how to best achieve your
• goals.
• An opportunity to get on board with a high-potential start-up at an early stage.
• A cool office in Tallinn, Estonia, and modern working tools.

HOW TO APPLY?
To start the discussion, send your CV and application (including your salary expectation) to
info@laavatech.com and we’ll be in touch.
If you have any questions, please don’t hesitate to email us at info@laavatech.com.

Laava Tech, Tallinn Estonia Go Industry
22 Mar 2022 Data Scientist - Optimization at Laava Tech

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Join Laava Tech as
HOW TO APPLY?
To start the discussion, send your CV and application (including your salary expectation) to
info@laavatech.com and we’ll be in touch.
If you have any questions, please don’t hesitate to email us at info@laavatech.com.
Data Scientist - Optimization
WE CAN OFFER YOU:
• Competitive compensation - the range depends on your experience and your suitability to the role.
• Flexible working hours & location
• A flat structure with a lot of independence to make the decisions on how to best achieve your
• goals.
• An opportunity to get on board with a high-potential start-up at an early stage.
• A cool office in Tallinn, Estonia, and modern working tools.
and help us make vertical farming sustainable. Laava Tech is an Estonian start-up with a technology
to change indoor farming, a 100+ bn € industry. We develop energy-saving technology to help vertical
farms eliminate their biggest pain point - electricity consumption.

WE ARE LOOKING FOR SOMEONE WITH:
• Expertise in mathematical optimization and mathematical model development for applications to
smart energy systems.
• Documented competences in mathematical optimization for real time operational decisions are
requested (i.e. linear programming, mixed integer linear programming, non-linear programming).
• Expertise with model development for applications within energy problems are highly preferred.
The ideal candidate has a Master‘s degree or a PhD in the field of mathematical optimization applied to
energy systems. Knowledge of energy-related subjects is highly desirable and experience in Python and
its package Pyomo are desired.
You‘ll need to be able to work independently and be proactive in your work. The software development
team at Laava Tech works with the values of responsibility, respect, integrity, and honesty, and we make
an effort to generate and maintain a positive working environment.
If you think you could be a good fit for this role, but don‘t have the experience or knowledge to cover all
of the requirements, don‘t hesitate to contact us - let‘s discuss and see if we can find a mutual fit.

WE CAN OFFER YOU:
• Competitive compensation - the range depends on your experience and your suitability to the role.
• Flexible working hours & location
• A flat structure with a lot of independence to make the decisions on how to best achieve your
• goals.
• An opportunity to get on board with a high-potential start-up at an early stage.
• A cool office in Tallinn, Estonia, and modern working tools.

HOW TO APPLY?
To start the discussion, send your CV and application (including your salary expectation) to
info@laavatech.com and we’ll be in touch.
If you have any questions, please don’t hesitate to email us at info@laavatech.com.

Laava Tech, Tallinn Estonia Go Industry
12 Mar 2022 Operational Research Scientist at LINKS Foundation (Turin)

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LINKS is a Foundation born from an agreement between Compagnia di San Paolo and Politecnico di Torino counting more than 160 researchers, a yearly turnaround of around 17M€, multiple collaborations with national and international Academies and Research Centers, a very strong presence in European and numerous collaborations with the business sector.
Researchers at the Foundation master technical-scientific disciplines in several areas of engineering and architecture such as, for example, Artificial Intelligence, Smart Data, IoT, Photonics and Satellite Localization to carry out innovative projects in application sectors ranging from Industry 4.0 to Cybersecurity, from Intelligent Mobility to Agritech, from Space Applications to Medicine and Well Being, from Smart Cities to Cultural Heritage.
Leveraging its research and innovation competences, with the goal of contributing to the growth of the socio-economic system, became the ambitious mission of LINKS, put in practice by working on large-scale projects with significant impact on the territory, and establishing a dialogue with the national and international entrepreneurial community with the goal of sharing and enhancing knowledge, experience and innovation.

Position
The Urban Mobility & Logistic systems (UML) research area of LINKS Foundation supports private companies and public administrations to bring innovation and sustainability in people mobility and freight transport, through a multidisciplinary approach. Our competences allow us to support the client throughout the process of applying innovation to transport: from transport analysis and studies to supporting the elaboration of actions and policies, from transport modelling and scenario simulation to impacts estimation and assessment.

The candidate will work at mobility and logistics projects aimed at studying and optimizing traffic flows, transport and logistic systems considering the impact of increasing levels of innovation. Most of the projects will be aimed at elaborating and developing algorithms using Python programming language in order optimize goods delivery and logistic processes of single transport companies or collaborative logistics clusters, thus increasing their efficiency and sustainability. The work will be included in the framework of European projects with international partners coming from premier companies.

Requirements
MSc degree in Mathematical Engineering, Mathematics, Software Engineering, Civil Engineering - Transport or equivalent
• 1-2 year work experience;
• Knowledge of operational research and optimization methods;
• Good in Python programming language and strong interest in learning new languages and software tools;
• Creative, proactive attitude joint with interest in working on development of innovative solutions;
• Proficient English level (both written and oral);
• Italian B1;
• Ability to work in a team and independently

One or more of the following is considered a plus:

• Knowledge of discrete event systems and models;
• PhD;
• Experience abroad

Contract details:
Type: fixed term full-time research contract
Duration: 12-36 months
Positions: no. 1
Workplace: Fondazione LINKS - Torino Italy

Send your application to the following e-mail address: grazia.vinci@csp-st.it, Grazia Vinci is in charge for recruiting

LINKS Foundation Turin - Italy Go Other
10 Mar 2022 Software Engineer, OR Specialist

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Salvagnini Italia SpA is looking for software engineers to enforce the software department to develop CAD\CAM applications in order to optimize the use of his machine tool for the sheet metal working process.



Job title: software engineer

Type of Contract: permanent contract

Division: Software Department

Duty Station: Sarego, Vicenza, Italy (38 hours per week applied, i.e. Friday working time is from 8.00 up to 14.00, smart working available on a basis of 2 days each week)



Salvagnini produces machine tools for the flexible thin sheet metal industry. It produces punching, laser cutting, automatic panel bender and press brake machines.

Salvagnini is the worldwide leader in automatic panel bender machines and one of the most important players on the other sheet metal machines.

It stands out as a system supplier, that consists of a set of linked machine to automatize the material flow from the raw material (rectangular flat sheets with commercial sizes) to the finite product with a very low human intervention.

For this purpose, besides proper tool machines, Salvagnini designs, produces and sells many connection systems for the material handling of semi-finished and finished products.

Salvagnini is a group, with production site in Italy (Sarego, Brendola, Avellino) and Austria (Linz) and numerous selling and post-selling sites.

Salvagnini machine tools distinguish themselves for their flexibility, that is the ability to load and execute a different program without machine idle times: this requires the programming time of the machine to be comparable to the cycle time (less than a minute in many cases). The software department then develops software applications that let the user transform a drawing of his product (CAD) into a program for the tool machines (CAM) that he will use in an optimized way.

To this end, we intensively use OR optimization algorithms, combined with computational geometry.

The software department accounts as core values the knowledge sharing and the availability to work in a group, together with the development and the maintenance of the complete application’s life cycle.



The software applications are typically desktop one in Microsoft environment, developed using VisualStudio in C++ and dotNet language.



More in the link: https://www.salvagninigroup.com



Candidature and specific information request: nicola.tognon@salvagninigroup.com, nicola.gastaldon@salvagninigroup.com

Salvagnini Italia SpA Italy Go Industry
01 Feb 2022 Nuova posizione da “OR specialist” in Optit

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Sei un giovane, talentuoso e appassionato ricercatore o ricercatrice nella Ricerca Operativa e vuoi farne una professione?

Si è aperta una posizione da “OR specialist” in Optit che ti permetterebbe di realizzare questo sogno:

Lavorare ogni giorno nel design e realizzazione di modelli di ottimizzazione, che rappresentano il cuore dei nostri Decision Support Systems;
Operare su problemi industriali estremamente attuali e complessi nel campo dell’energia, l’economia circolare, la logistica e supply chain, il retail, etc…, dando il tuo contributo a risolvere i problemi del nostro tempo con aziende leader dei rispettivi settori;
Interagire e approfondire la conoscenza di altri ambiti dell’Advanced Analytics (data science, machine/deep learning, …), sempre più parte integrante delle nostre strategie risolutive;
Partecipare a team interdisciplinari a fianco di una SW Factory full stack per lo sviluppo degli applicativi con metodologia Agile e business consultant esperti nei mercati di riferimento;
Mantenere contatti con il mondo accademico, con cui collaboriamo costantemente in progetti, collaborazioni e processi di fertilizzazione reciproca;
Diventare parte di un team dinamico, in costante crescita, con obiettivi ambiziosi e prospettive interessantissime di sviluppo sui mercati nazionali e internazionali.
Optit, spin-off accreditato dell’Università di Bologna e fondatore dell’EURO Working Group sulla Practice of OR, è leader in Italia nell’applicazione della Ricerca Operativa e Advanced Analytics per l’Operational Excellence, con relazioni consolidate con aziende leader, svariati progetti internazionali e una crescente visibilità e attività sui mercati europei e globali.

Se sei curioso di conoscerci meglio, visita www.optit.net o seguici su twitter (@optitsrl_en) o LinkedIn (@optit-s.r.l.),

Se sei interessato ad esplorare questa opportunità, manda il tuo CV a jobs@optit.net.

Optit Italy Go Industry
10 Dec 2021 Optimization Model Specialist

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Per progetti nel settore portuale e della logistica intermodale ricerchiamo un Optimization Model Specialist
Principali attività:
- Analisi processi
- Sviluppo o estensione modelli di ottimizzazione e/o algoritmi risolutivi
- Test di modelli di ottimizzazione e/o algoritmi risolutivi

Le candidature possono essere mandate a Dolores Macchi: macchi@circletouch.eu

Circle Italy Go Industry
06 Sep 2021 Assegno di Ricerca

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Si segnala il seguente bando per assegno di Ricerca, ambito ricerca
operativa, attività legata a modelli di ottimizzazione per Urban Digital
Twin. Di seguito la descrizione dettagliata:


n. 1 assegno professionalizzante per lo svolgimento di attività di
ricerca inerente l’area scientifica "Ricerca Operativa" da svolgersi
presso l’Istituto di Analisi dei Sistemi ed Informatica “Antonio
Ruberti” del CNR – Via dei Taurini 19 – 00185 Roma – che effettua
ricerca nell'ambito del Progetto “Casa delle Tecnologie Emergenti CTEMT
di Matera” CUP N. CUP I14E20000020001 per la seguente tematica:
“Sviluppo di attività scientifica nelle aree di ottimizzazione per
l'accessibilità e per il concetto di gemello digitale in ambito urbano,
previste nel WP 1 del progetto CTEMT - Casa delle Tecnologie Emergenti
di Matera”,

Codice Bando IASI-008-2021-RM, scadenza : 06/09/2021


Diplomi di laurea: Ingegneria gestionale, Ingegneria informatica,
Informatica, Matematica
Tra i requisiti :
- Aver conseguito durante il percorso di studi universitari almeno 12
crediti formativi (CFU) in insegnamenti del Settore Scientifico
Disciplinare MAT/09;

- Conoscenza di metodi della Ricerca Operativa con applicazioni a
problemi di ottimizzazione dei percorsi, routing, orienteering

- Conoscenza di linguaggi di programmazione "C++" o "Python"

- Conoscenza di pacchetti di ottimizzazione "cplex" o "gurobi"


Per qualsiasi informazione aggiuntiva contattare Giuseppe Stecca email:
giuseppe.stecca@iasi.cnr.it

Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti” del CNR, Roma Italy Go Academia
01 Sep 2021 PhD in Operations & Data Analytics

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Open recruitment for the PhD in « Operations & Data Analytics » of ESSEC Business School (starting sept. 2021), specialization "Operations Management / Operations Research"

The Operations Management / Operations Research research cluster of ESSEC hosts 8 professors and researchers. Selected PhD students are automatically funded for 4 years, with a stipend of 23000€ a year. PhD courses last for 1,5 year, however Research Modules start as soon as year 1, with Professors teaching in the program. In addition to the PhD Thesis, students will graduate with an Advanced Master in Business Administration Research of ESSEC Business School, and a French Doctorat. The course program is 100% in English.
See PhD website : http://www.essec.edu/en/program/phd-en/phd-program/
ESSEC Business School is a leading global business school (ranked #3 worldwide for its Master in Management (Grande Ecole) Program by the Financial Times, #3 worldwide in QS ranking ).

To know all details and get the list of needed documents for the application, please write to alfandari@essec.edu.

Laurent Alfandari
Professor@ESSEC
Coordinator of the Operations & Data Analytics PhD concentration.

ESSEC Business School, Paris France Go Academia
31 Aug 2021 Optimization Project Lead

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As an Optimization Project Lead, you will be part of a fast-growing team working on a wide variety of projects across predictive modelling, optimization, and big data using the latest tools and techniques. The team is responsible for the delivery of all analytic offerings to clients within Europe, Middle East, and Africa (EMEA), and some projects may require substantial time spent on client site, so you should be willing to travel. This role is to support the continuing growth of FICO’s analytics business across EMEA with a specific focus on Optimization.

The role will focus on FICO’s core area of analytics and specifically the delivery of analytic solutions using FICO Xpress Optimization Suite software. This typically entails building decision models sometimes unique to the customer, mathematical formulation for optimization, server and client-side programming, and software configuration. The role involves working on-site with the client to discover new opportunity areas and creating an internal network to ensure the high quality, end-to-end delivery of analytical solutions that create strong business impact.

More details on the link.

Reference e-mail: martimjoycemoniz@fico.com

FICO Europe Go Industry
15 Aug 2021 PhD and postdoc in Solution methodologies for binary quadratic optimization problems

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Supervisors: Leandro Coelho (Université Laval) and Franklin Djeumou Fomeni (Université du
Québec à Montréal)

Start date: 1 January 2022

Duration: 4 years

Summary of the project:
Binary Quadratic Optimization (BQO) is a special class of discrete optimization, which amounts to
optimizing a quadratic objective function of binary decision variables subject to a set of linear
constraints. Some applications of BQO include portfolio optimization, projects selection, sustainable
development, facilities location and vehicle routing problems. BQO problems are known to be very
challenging to solve due to the non-linear nature of their objective functions and the discrete nature of
their decision variables. Indeed, even simple special cases of BQO, such as the quadratic knapsack
problem, the quadratic assignment problem, etc., are known to be strongly NP-hard. The aim of this
research project is to develop a host of innovating solution methodologies for solving BQO problems.
These methodologies will include heuristic, meta-heuristics and exact algorithms. Some of the
techniques to be used include, but not limited to, dynamic programming, cutting planes, polyhedral
studies, branch-and-cut and decision diagram.
We invite applications from highly motivated candidates for full-time PhD or Postdoc positions to
develop advanced methodologies for solving BQO problems and use them for some applications in
finance, in energy and in transportation.

Work environment:
The successful candidates will be jointly supervised by Leandro Coelho (professor at Université Laval
in Quebec City) and Franklin Djeumou Fomeni (professor at Université du Québec à Montréal,
UQAM, Montreal). They will also have the opportunity to become members of both GERAD
(www.gerad.ca) and CIRRELT (www.cirrelt.ca).

Qualifications:
Masters in Operations Research or equivalent
Knowledge of optimization methods (e.g.: heuristics, linear programming)
Programming skill: C/C++ (preferred) or Python/Matlab

Conditions:
A financial support of up to 22 000$ per year for PhD. For postdoc, it will be comensurate with
experience

Required documents:
Degrees certificates, Academic transcripts, CV, Cover letter and two reference letters

To apply: Email all documents to djeumou_fomeni.franklin@uqam.ca / leandro.coelho@fsa.ulaval.ca

Université Laval and Université du Québec à Montréal Canada Go Academia
22 Jul 2021 Call for PhD positions - 37th cycle Università di Roma Tre Italy Go Academia
16 Jul 2021 PhD position in Control, Optimization and Complex Systems

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11 fully funded positions are available for the PhD program in Information Engineering, XXXVII cycle, starting November 1st, 2021.

Please refer to the official web page for info:

Within the 11 fellowships, 5 are Industrial PhD positions, with special requirements. 6 are general positions, for the 4 curricula. One of the curricula "Control, Optimization and Complex Systems" can be of particular interest for candidates from Operations Reseearch/Optimizaiton

University of Florence Italy Go Academia
16 Jul 2021 Assistant Professor (RTD-B) positions at IMT Lucca

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Dear Colleagues,

IMT Lucca has opened an international scouting for tenure-track assistant professor positions (RTD-B) in various areas, including control and optimization. The appointed candidate is expected to conduct excellent research and to contribute to the supervision of PhD students, with a limited teaching duty at the PhD level. The working language is English.

If you are aware of some good candidates who may be interested in applying, please don't hesitate to forward this message.

The link to submit an application is
https://www.imtlucca.it/en/the-imt-school/job-opportunities/academic-positions/international-scouting

Cari saluti,
Alberto Bemporad

IMT Lucca Italy Go Academia
15 Jul 2021 Ottimizzazione del percorso di un veicolo elettrico

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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

University of Brescia Italy Go Academia
30 Jun 2021 18 months Research Fellow position in Operations Research

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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

University of Calabria Italy Go Academia
30 Jun 2021 Research Manager Position – Logistics and Distribution Institute (LoDI)

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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.

University of Louisville United States Go Academia
06 Jun 2021 PhD Candidate in stochastic optimization

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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.

Norwegian University of Science and Technology Norway Go Academia
19 May 2021 PhD position in Optimization under Uncertainty

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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.

University of Bergamo and University of Pavia Italy Go Academia
07 May 2021 Postdoc in Machine Learning in Economics and Decision Sciences

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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.

Copenhagen Business School Denmark Go Academia
06 May 2021 Tenure-track position (RTD-B) in Mathematics for Economics

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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.



Ca' Foscari University of Venice Italy Go Academia
05 May 2021 Postdoc position in rail capacity and punctuality at Lund University

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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

Lund University Sweden Go Academia
30 Apr 2021 Research position in real-life scheduling and optimization

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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

University of Modena and Reggio Emilia Italy Go Academia
15 Apr 2021 Lecturer/Senior Lecturer in Operations Management and Decision Sciences (Open ended)

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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

Sheffield University Management School United Kingdom Go Academia
15 Apr 2021 Multiple positions in Mathematical Programming at Huawei's Munich Research Center

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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.

Huawei Cloud Business Unit, Munich Research Center Germany Go Industry