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Displaying opportunities 26 - 50 of 476 in total
Expires Title Institution Country Link Type
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
08 Nov 2021 PhD position on “Algoritmi di Ottimizzazione Matematica per il Routing di Veicoli Elettrici” ("Mathematical programming algorithms for electric vehicle routing"

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PhD position at the University of Milan, O.R. group (G. Righini, M. Trubian, R. Cordone, A. Ceselli). Project title: "“Algoritmi di Ottimizzazione Matematica per il Routing di Veicoli Elettrici” ("Mathematical programming algorithms for electric vehicle routing".

The PhD position is at the University of Milan, and it is partially supported by M.A.I.O.R. (Lucca), an O.R. company with strong interest in recruiting young experts in optimization.

This position is part of an initiative of the Italian Government to support PhDs working on "innovation" and "green" topics. The project title reflects both the interest of MAIOR and specific competencies developed by the O.R. research group at the Univ. of Milan. However, it is not a limit to the scientific activity of the PhD student. The PhD student will have the opportunity to spend up to twelve months working in strict collaboration with M.A.I.O.R., which is highly motivated to invest in the education of potential new employees with excellent O.R. skills. This must be seen as an opportunity, not as a constraint: the PhD position is equally well-suited for candidates willing to pursue an academic career.

The full call (temporarily only in Italian) can be found at: https://apps.unimi.it/files/bandi/call-2022-2-selection-september.pdf?15-OCT-21
Details of the position are available at pag. 18 of the call attachment, available at: https://apps.unimi.it/files/bandi/callattach-2022-2-selection-september.pdf?15-OCT-21
The call and its attachments can also be accessed from the official page of Computer Science Ph.D.'s at University of Milan (Session: 2): https://www.unimi.it/en/education/postgraduate-programmes/doctoral-programmes-phd/ay-2021/2022-computer-science

For other info: giovanni.righini@unimi.it

Department of Computer Science, University of Milan Italy Go Other
04 Nov 2021 Three-years fixed-term researcher position (RTD-A) on Local Public Transport Optimization

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The Department of Computer Science of the University of Pisa has opened a three-years, fixed-term researcher position (RTD-A) on the project "A contribution to greenhouse emissions reduction by a more efficient Public Local Transport".

The RTD-A position is considered the first significant step of the academic career in Italy. Despite being strictly a fixed-term contract with the duration of three years, it is a staff position giving right of vote in the Council of the Department, full access to labor and pension rights (with a gross salary around 35000 Euro/year), and requiring some teaching duties (about one course per annum). It can also be prolonged for two (but no more than two) years subject to availability of funding and mutual interest.

The position has to be viewed in the context of the multi-decades research collaboration between the Department of Computer Science of the University of Pisa and M.A.I.O.R. S.r.l.

https://www.maior.it/en

The research activity will address decision-making processes in organized systems, with particular focus to, but not exclusively, those relating to Local Public Transport. The research considers all the different phases that characterize the decision-making process: the definition of the problem, its mathematical formalization, the formulation of constraints, objectives and action alternatives, the development of solution algorithms as well as their implementation, evaluation and certification. Besides the methodological and theoretical aspects, the research will focus on the development of efficient and well-engineered software implementing the proposed approaches for the solution of either large-scale structured optimization problems or of sub-problems with specific structures that can result from the application of algorithmic methodologies (decomposition, implicit enumeration, large-scale local search, ...) to the original problems. A proper balance will be struck between the development of algorithms for general classes of problems and for the specific problems encountered by M.A.I.O.R. within planning and management (operational and real time) of Local Public Transport systems.

The call can be found at

https://alboufficiale.unipi.it/wp-content/uploads/2021/10/Bando_RTDA_PON_43.pdf

(it's one of 43 positions, check the record RIC2021PON_A19) and the strict deadline for applications is 13:00 November 4, 2021 (Italian time). Selection procedures are expected to be completed before year's end with the position starting around February 2022 at the latest.

Thank you for helping us to disseminate the news to any potentially interested researcher. Further information about the project and the working environment at the Department of Computer Science of the University of Pisa can be requested to Antonio Frangioni and Laura Galli . In particular, sorry for the call text being Italian-only. About of Google Translator or suchlike should be enough to get the gist of it (the important part so far are Articles 2 to 5), but should you need any clarification about the selection procedure do not hesitate to rely on us.


Reference e-mail: frangio@di.unipi.it

Department of Computer Science, University of Pisa Italy Go Academia
03 Nov 2021 Fixed-term position (RTD-A) in Operations Research

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A procedure of comparative evaluation by qualifications and public discussion is called for the
recruitment of a three-year position (RTD-A: fixed-term employment contract full-time for three-year pursuant to art. 24 paragraph 3 letter a) junior of Law no. 240/2010).
The gross annual salary is € 36.344,00. The annual increase in this amount will be calculated according to the existing procedure for noncontracted personnel.
The contract is activated with resources from the 2014-2020 PON "Ricerca e Innovazione" and
co-financed with the funds for the promotion and development of the policies of the Programma
nazionale per la ricerca (PNR) referred to in Ministerial Decree 737 of 25/06/2021.

The specific elements of this procedure are as follows:
- Department: Department of Mathematics - MAT
- SC: 01/A6 - OPERATIONS RESEARCH
- SSD: MAT/09 - OPERATIONS RESEARCH
- Number of positions: 1
- Thematic area: Green
- Thematic Area SNSI: “Agenda Digitale, Smart Communities, Sistemi di mobilità intelligente.” - Areas of development of the project SNSI: “Sistemi di mobilità urbana intelligente per la logistica e le persone.”
- PNR topics and articulations: “Ambito CLIMA, ENERGIA, MOBILITÀ SOSTENIBILE: Mobilità sostenibile”; “Articolazione 3. Servizi di mobilità e trasporto (the research will also have overlaps with articolazione 1 and 5)”.
- Main place of employment: Cesena
- Contract type: Full-time
- Project title: Models, methods, and algorithms for sustainable mobility.
- Brief description of the project: Today, one of the main environmental, social, and
business challenges is defining a new sustainable mobility of people and goods. The
transition of traditional transport systems to new technologies and new processes requires
the solution of several problems ranging from the definition of the recharging networks to the
routing of self-driving vehicles in fully decentralized systems. The research aims to define
some basic optimization problems and for some of them to propose new models and solution
methods. The research will consider both new problems and problems already under
investigation by the scientific community, but still without satisfactory solutions. The most
interesting problems concern the effective and efficient use of traditional, electric, and selfdriving
vehicles, including their use for passenger and freight services, e.g., to reduce costs,
travel times, pollution, and traffic congestion.
- Number of hours of frontal teaching per year: 48
- Admission requirement: PhD
- Maximum number of publications: 12
- Language in which the interview will take place: English language
- Research period in a company: A period of 6-12 months in a company is scheduled, the
company will be identified by the Department.

University of Bologna Italy Go Academia
31 Oct 2021 Two years Post-doctoral position on applications in healthcare

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(Dates are approximate. More details to come soon)

Position starting on: January 2022

Esperienza richiesta ai candidati:
dottorato di ricerca in tematiche riguardanti la ricerca operativa e/o l’ingegneria e la bioingegneria industriale
AREE CUN: 09- Ingegneria industriale e dell’informazione oppure 01 – scienze matematiche e informatiche

TEMATICA:

L’elevata complessità dei servizi di assistenza domiciliare richiede una gestione ottimale delle risorse umane (medici, infermieri, ...) e materiali (dispositivi, materiali consumabili, ...) coinvolte nell’erogazione dei servizi. In particolare, le nuove tipologie di servizio (come ad esempio terapie di riabilitazione complesse, esami diagnostici, monitoraggi del paziente) richiedono un'accurata gestione delle risorse materiali coinvolte nel servizio. Sfortunatamente, i dispositivi e i materiali non sono considerati nei modelli presenti in letteratura e nella pratica di diversi erogatori di servizi domiciliari, come non è incluso il personale tecnico necessario per supportarne l'utilizzo. Il progetto si occupa quindi della gestione integrata delle risorse materiali nei servizi di assistenza domiciliare, considerando due livelli. Il livello principale è quello organizzativo, per cui ci si prefigge di arricchire i modelli presenti in letteratura con la componente riguardante le risorse materiali, focalizzandosi su modelli di ottimizzazione stocastica e robusta in modo da includere la gestione dell’incertezza tipica dei servizi di assistenza domiciliare. A questo si affiancherà un livello tecnico, riguardante la valutazione dei dispositivi più adatti ad essere utilizzati nell’assistenza domiciliare, e la definizione delle specifiche tecniche per lo sviluppo futuro di dispositivi appositamente ottimizzati per l’uso domiciliare.

The high complexity of home care services requires an optimal management of human (doctors, nurses, ...) and material (devices, consumables, ...) resources involved in service provisioning. In particular, new types of service (e.g., complex rehabilitation therapies, diagnostic tests, patient monitoring) require careful management of the material resources involved in the service, which can represent a relevant cost item, and their management may influence the scheduling of visits. Unfortunately, devices and materials are not considered in the models available in the literature and in the practice of several home service providers, as well as the technical staff necessary to use them. Therefore, the project addresses the integrated management of material resources in home care services, considering two levels. The main level is the organizational one, for which we aim to enrich the available models with a component dealing with material resources, focusing on stochastic and robust optimization models in order to include the management of the uncertainty typical of home care services. This will be accompanied by a technical level, with the evaluation the existing devices that are most suitable for use in home care services, and with the definition of technical specifications for the future development of devices specifically optimized for home use.

Università di Bergamo Italy Go Academia
31 Oct 2021 Short-term research assistant position (2 months) in Last-mile Delivery Optimisation

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We are looking for a Research Assistant with relevant experience in developing optimisation algorithms. The candidate will work on integrating public transport vehicles in last-mile delivery, i.e., can we transport parcels on urban buses/trams/metro trains? How many of them? What are the disadvantages? How much carbon emissions can we save? Can we still guarantee on-time delivery? These are some of the research questions we tackle.

Interested candidates should send an email to research@bse.eu with the subject “SO2021-10 Research Assistant”. It has to include one single file named “SO2021-04 RA Lastname_Firstname”.
The file should have: (A) 1 page explaining the research interests of the candidate, how he/she meets the specific requirements of the job position, and if he/she has a Spanish working permit. This page must include a link to sample code written by the candidate (in the past, or for the specific purpose of this application) in a programming language of choice. (B) A Curriculum Vitae.

Skills/Qualifications
Demostrated ability to produce correct, fast and maintainable code in a programming language of their choice (some preference is given to previous experience with C or C++). Please include in your application a link to publicly available code (e.g., a Github profile).

Specific Requirements
Familiarity with the operational research literature and, in particular, literature on routing problems. Documented previous experience in developing a (meta-)heuristic optimisation algorithm. Publications in the field of operational research, combinatorial optimisation, or similar.

Barcelona School of Economics Spain Go Academia
19 Oct 2021 PhD position in Black-Box optimization for clean energy technologies

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Advisor: Margherita Porcelli
Application: from 5 to 19 October 2021 (online through the university web platform)
Start date: 1 January 2022

RESEARCH PROGRAM

The efficient solution of optimization problems arising in real applications increasingly calls for the development of efficient and easy-to-use implementations of derivative-free algorithms. In applications such as engineering design, medical image registration and design of algorithms (amongst many others), optimization problems are often defined by functions computed by costly simulation. Functions have therefore to be treated as expensive black-boxes (EBB), and due to the high computational cost involved, it is important to use optimization algorithms that produce reasonably good solutions within a limited number of function evaluations.

The aim of the PhD project is to bring significant advances in the solution of simulation-based optimization problems via derivative-free optimization (DFO) by addressing one of the main challenges in this area: the DFO scalability. In this context, the PhD student will focus on the mathematical and computational analysis of a large scale EBB industrial problem that will contribute to the development of low-emission energy technologies.

The PhD student will benefit by an exciting internship at Baker Hughes www.bakerhughes.com/baker-hughes-italia, a leading company in the field of energy production technology, and by international collaborations with Ana Luisa Custodio - NOVA School of Science and Technology, Lisbon (Portugal) and Elisa Riccietti - ENS Lyon (France).

Please, contact Margherita Porcelli (margherita.porcelli@unibo.it) for further information.

Department of Mathematics, University of Bologna Italy Go Academia
19 Oct 2021 PhD position Mathematical models and numerical methods for environmental applications of Fast Field Cycling Nuclear Magnetic Resonance.

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Advisor: Fabiana Zama
Application: from 5 to 19 October 2021 (online through the university web platform).
Start date: 1 January 2022

RESEARCH PROGRAM

Fast Field Cycling Nuclear Magnetic Resonance (FFC-NMR) is a low-field magnetic resonance imaging technique, which is particularly useful in non-destructive analysis to reveal information about slow molecular dynamics. FFC-NMR has a wide range of applications and is a crucial tool in improving industrial processes, reducing energy consumption and the waste of resources. From a mathematical point of view, this is a non-linear inverse problem, severely ill-conditioned, whose solution needs a comprehensive analysis of its mathematical properties and requires the study of efficient numerical methods.

The activity of the PhD research consists of the analysis of the mathematical properties of the FFC-NMR models and the development of numerical methods for its solution to promote a green application of the FFC.

Objectives of the research program:

-Analysis of the models in terms of well-posedness and stability and test of numerical methods.
-Development of robust algorithms and validation on different types of relaxation data.
- Promotion of the application of the algorithms for analyzing NMRD profiles by implementing a user-friendly interface for industrial use.


The program includes strong interaction with industrial partners who provide space and facilities for an internship:
- Stelar, Via Enrico Fermi, 4, 27035 Mede PV, Italy.
- Extra Byte, Piazza Mazzini 80, 20022 - Castano Primo (Milano), Italy.

Please, contact Prof. Fabiana Zama (fabiana.zama@unibo.it) for further information.

Department of Mathematics, University of Bologna Italy Go Academia
15 Oct 2021 Tho PhD positions on Green Optimization

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Nell'ambito delle borse di dottorato bandite mediante dotazione PON 2014-2020 sono aperte due borse per il Corso di Dottorato in Informatica delle Università di Pisa, Firenze e Siena su tematiche di ottimizzazione "green":

- Per un'efficiente Decarbonizzazione del Trasporto Pubblico Locale, con M.A.I.O.R. Srl

- Modellazione della Transizione Verso un Sistema Energetico Decarbonizzato, con Électricité de France (EdF)

Tutte le informazioni sono disponibili alla URL:

https://dottorato.unipi.it/index.php/it/concorsi-d-ammissione-a-a-2021-2022/item/615.html

La scadenza del bando è al 15 Ottobre. Per qualsiasi chiarimento è possibile rivolgersi ad Antonio Frangioni .

PhD course in Informatics by Universities of Pisa, Firenze and Siena Italy Go Academia
24 Sep 2021 Assegno di ricerca presso IAC-CNR (Research Fellow at IAC-CNR)

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ITALIAN VERSION - English follows
Assegno di ricerca presso l’Istituto per le Applicazioni del Calcolo “Mauro Picone” del CNR.

Tema della ricerca: “Progetto ed implementazione di sistemi di supporto alle decisioni per la pianificazione ottimale degli investimenti in innovazione, ricerca e sviluppo”.

Il progetto è realizzato in collaborazione con Sistemi Formativi Confindustria.

Requisiti
- Diploma di Laurea in una delle seguenti discipline: Matematica, Fisica, Statistica, Scienze dell'informazione, Ingegneria, Economia.
- Aver conseguito durante il percorso di studi universitari almeno 6 crediti formativi (CFU) in insegnamenti del settore scientifico-disciplinare MAT/09 (Ricerca Operativa).
- Comprovata conoscenza del linguaggio di programmazione Python.
- Conoscenza di strumenti software per la risoluzione di problemi di programmazione matematica (IBM ILOG Cplex, Gurobi, SCIP).
Saranno considerati titoli di preferenza la conoscenza di uno almeno dei seguenti strumenti di sviluppo applicazioni web: Flask, Django.

Maggiori dettagli al link:
https://bandi.urp.cnr.it/doc-assegni/documentazione/11454_DOC_IT.pdf

Scadenza invio domande: 24/09/2021

Per informazioni contattare il responsabile scientifico Dr. Antonino Sgalambro
e-mail: antonino.sgalambro@cnr.it

---------------------
ENGLISH VERSION
Research Fellow position at the Institute for Applied Mathematics “Mauro Picone” of the Italian National Research Council.

Research Topic: “Design and implementation of decision-making support systems for optimal planning of investments in innovation, research and development”.

The project is carried out in cooperation with Sistemi Formativi Confindustria.

Requirements
- Background in either Mathematics, Physics, Statistics, Information Sciences, Engineering, or Economics.
- To have obtained at least 6 credits (CFU) in the scientific discipline MAT/09 (Operational Research) during university studies.
- Proven knowledge of Python programming language.
- Knowledge of software tools for solving mathematical programming problems (IBM ILOG Cplex, Gurobi, SCIP).
Knowledge of at least one of the following web application development tools will be considered preferential: Flask, Django.

Further details at the link:
https://bandi.urp.cnr.it/doc-assegni/documentazione/11454_DOC_IT.pdf

Deadline for applications: September, 24th.

For information, please contact scientific coordinator Dr. Antonino Sgalambro
e-mail: antonino.sgalambro@cnr.it

Istituto per le Applicazioni del Calcolo "Mauro Picone" del CNR Italy Go Academia
20 Sep 2021 5 * Lecturers/Senior Lecturers positions at Sheffield University Management School

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Sheffield University Management School is looking for 5 (five) Lecturers/Senior Lecturers to join the Operations Management and Decision Sciences Subject Group.

An outstanding opportunity for ORMS academics to be part of a thriving, collegial and supportive group:
- delivering a rich variety of research-led taught modules in the field of Operations, Supply Chain Management and Decision Analytics;
- a vibrant research environment with a focus on Sustainability and Social Responsibility in Management;
- strongly engaged with Industry and Knowledge Transfer initiatives.

Don’t miss this unique opportunity to join our TripleCrown accredited Management School (AACSB, AMBA and EQUIS) in a World top-100 University.

Apply before 20th September:
1 L/SL open-ended post in Sustainable Management: tinyurl.com/b6jx5r9d
1 L/SL open-ended post in Information Sciences: tinyurl.com/eeydt5pw
3 L/SL open-ended posts in Operations Management and Decision Sciences: tinyurl.com/533ecdwf

Sheffield University Management School England Go Academia
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 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
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
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