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Displaying opportunities 1 - 25 of 467 in total
Expires Title Institution Country Link Type
20 Jan 2023 Operations Research Analyst

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Be a key member of the newly formed Operations Research unit and contribute to solving our hardest operational challenges with data.

About Paack 📦

Paack is an avant-garde technology start-up in the logistics sector. It was founded in 2015, and since then, the company has experienced strong global growth and it currently operates in 70 cities across different countries such as Spain, the UK, France, and Portugal. Our success is backed by renowned European investors.

We believe the future of e-commerce deliveries is a customer-controlled system that schedules the distribution according to clients’ preferences. Additionally, our approach blends the last mile delivery experience with an environmental-friendly service. Paack wants to establish a combination of the two as the new market standard. Hence, we ensure clients receive their parcels in a time that suits them while contributing to sustainability.

Our product ecosystem was designed in-house allowing both technology and operationality to integrate perfectly, delivering parcels more efficiently. This results in unprecedented outcomes, offering our retail clients a competitive advantage whilst reducing the impact of their carbon footprint. Due to previously mentioned reasons, some of the best retailers (Amazon, Inditex Group (Zara), H&M, El Corte Inglés, etc) have chosen Paack as their exclusive partner.

Our team of Paackers is multicultural, multilingual, and highly qualified. We enjoy the challenges of scaling a global technology and logistics business, facing them with ambition.

In accordance with our corporate values: We Care, We Thrive, We Innovate, Paack is looking for inspiring people, people who love to grow exceeding expectations, and challenge the status quo.

Paack is proud to be an equal opportunity workplace, committed to promoting a diverse and inclusive workplace.

Our team 🤲

Our team is multicultural, multilingual, highly qualified, entrepreneurial and, inherently, we like to work hard. We enjoy all the challenges of scaling a global technology and logistics business, and we face them with ambition. At Paack we look for passionate and committed people who own their individual projects and see them through, inspire and support others as part of a team, whilst constantly looking to improve through their own ideas and initiative to help the business achieve its key objectives.

About the job 👩‍💻👩‍💻

As a key member of the newly formed Operations Research unit you will solve our hardest operational challenges with data. Cooperating with Operations, Engineering and Data you will drive operations excellence to support our fast-paced growth.

Key tasks and Accountabilities:

Identify potential for optimisation along Paack’s operations, from collection of parcels at warehouses of our customers, to sorting and distribution, all the way to last mile delivery.
Translate business objectives into data, and develop analytics solutions and action plans.
Manage and adapt action plans in response to unforeseen situations, priorities, and new data realities.
Collect business requirements from stakeholders and deliver easy to understand analyses to support decision-making
Communicate effectively with multiple teams to find synergies and establish collaboration schemes
Forecast customer demand to improve planning, to save labor and transportation costs, and to increase productivity and overall customer service quality.
Examine quantitative and qualitative information and deploy analytical methods to find practical solutions to business problems.
Solve optimisation problems in collaborations with Senior Researchers: routing and scheduling of trucks across the distribution network, topology decisions for network expansion, optimal allocation of volumes to last-mile carriers, dynamic rerouting, etc.
What are we looking for? 🦸‍♀️🦸‍♂

2+ years of industry experience solving optimisation problems, forecasting demand, simulations and operations planning in logistics or transportation.
Degree in Operations Research, Mathematics, Data Science or similar.
Proficiency in Python, as well as SQL, data exploration and optimisation solvers like Gurobi, Cplex or open source equivalents. Knowledge of Google Cloud, Big Query and Looker is a plus.
Experience in handling large data sets and proven track record of robust data analysis.
Comfortable facilitating ideation and working from concept through to execution.
Self-motivated; ability to handle multiple responsibilities under limited supervision.
Excellent communication and story-telling skills (visual, verbal and written), ability to conduct cross-department projects and thrive in a fast-paced environment
Strong English skills. Spanish, French or German is a plus
Why Paack? 👈

In order to lead the revolution in online retail delivery solutions, we need enthusiastic, energetic and committed people. People, who bring strong expertise in their professional area and are passionate about urban logistics, technology and expansion.

If you commit to bringing all the above, we will commit to providing:

A fast-paced and rapidly growing start-up environment with many exciting leadership opportunities
A great international project, which is revolutionising last-mile delivery in major cities (London, Paris, Madrid, Barcelona, Lisbon, etc.)
Competitive remuneration and benefits package
A collaborative and flexible work environment
To be part of a unique Team, both human and professional
Flexible working (fully remote possible) in a great new office in the city centre within a young and very dynamic atmosphere
Next steps If you believe you have the capabilities to thrive in this role, then please submit your CV and any accompanying materials by completing the application.

Once we have reviewed your application, we’ll then be in touch to arrange a call as a next step. We look forward to receiving your application.

Sound like a fit? Come and join our success

Paack Spain Go Industry
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 Optimisation Modelling Consultant

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Doing the Math helps organizations to achieve their sustainability goals and to create support for this among employees, relations and other stakeholders. We combine data, mathematical modelling and communication strategies to achieve this

We are looking for optimisation modelling consultants to strengthen our team. As a new DTM team member you:
- have a drive to solve practical problems and help clients to achieve their goals
- have a master or PhD degree in Mathematics, Applied Mathematics, Econometrics or in a related field with an Operations Research specialization

- at least 3 years of work experience

- know how to write easy-to-maintain code in Python or Julia, are experienced in using solvers like SCIP, CPLEX and Gurobi and know your way in the open source community
- have a pro-active and supportive attitude
- are comfortable with speaking and writing in English
- are located in the EU

As an application, we would like to receive a letter of motivation and your CV. Do you first want to ask some questions? Contact us at info@doingthemath.nl, we are happy to tell you more!

Doing The Math, Rotterdam Netherlands 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
15 Feb 2022 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 two-year postdoc has a research component and limited teaching. 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. In addition, she is the coordinator and scientific leader of the EU H2020 MSCA RISE European Network of Data Scientists project, www.riseneeds.eu. Candidates from any field with an interest in machine learning are encouraged to apply. Candidates could have a background in machine learning, in mathematical optimization, or in more applied fields such as economics, if they have a strong interest in applying state of the art machine learning techniques in their research.
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: 15 February 2022.
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.

Copenhagen Business School Denmark Go Academia
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
31 Jan 2022 Postdoctoral Position in Integer Programming and Combinatorial Optimization

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The Center for Operations Research and Econometrics (CORE) of the Université Catholique de Louvain
invites applications for a full-time postdoctoral position in Integer Programming and Combinatorial Optimization.

The position is funded by the Belgian National Fund for Scientific Research (FRS-FNRS), via the prestigious PDR grant scheme,
and provides the successful candidate with excellent financial support for mobility and participation to conferences.
The starting date and the length of the appointment are negotiable.

Motivated researchers with a Ph.D. in Discrete Optimization, an innovative mind-set, and intellectual curiosity are welcome to apply.
The application should include a cover letter, a research statement, a curriculum vitae, and list of 3 references.
Applications and informal inquiries may be sent to daniele.catanzaro@uclouvain.be.

The review of the applications will continue until the position is filled

Center for Operations Research and Econometrics, Université Catholique Louvain, Belgium Go Academia
15 Jan 2022 1 year postdoctoral position PRIN 2020 Project - University of Milano-Bicocca

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Dear Colleagues,

we would like to announce full-time post-doctoral position in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” granted by the Italian Ministry of University and Research (https://www.mur.gov.it/it/atti-e-normativa/decreto-direttoriale-n-2283-del-29-09-2021).

The position (1 year, renewable for a second) will be led by Prof. Enza Messina at the Computer Science Department, University of Milano-Bicocca. The activity will be devoted to the development of data driven scenario generation (also using deep learning models) and its integration in a reinforcement learning framework. The candidate will be part of a dynamic and multidisciplinary research group. The ideal candidate must have a background in mathematical programming models under uncertainty, machine learning and statistical learning models.

The hired researchers will be encouraged toward mobility and collaboration among the four research units (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria) and will be involved in a dynamic international environment. The positions will come with competitive salaries.

Applicants must hold a Ph.D. in a quantitative field and have a publication record in mathematical optimization. They also need to have programming skills and experience with optimization software.

Expressions of interest are welcome no later than January 15th, 2022 and should be sent to: francesca.maggioni@unibg.it

More information on the position and instructions for the submission of applications will be shared soon.

Computer Science Department, University of Milano-Bicocca Italy Go Academia
15 Jan 2022 2 years postdoctoral position PRIN 2020 Project - University of Bergamo

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Dear Colleagues,

we would like to announce full-time post-doctoral position in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” granted by the Italian Ministry of University and Research (https://www.mur.gov.it/it/atti-e-normativa/decreto-direttoriale-n-2283-del-29-09-2021).

The position (1 year, renewable for a second) will be led by Dr. Francesca Vocaturo at the Department of Economics, Statistics and Finance “Giovanni Anania”, University of Calabria (Italy). The research activities will fit into the reverse logistics area. Specifically, the aim is to develop efficient approaches to problems concerning the management of backward flows under uncertainty. The ideal candidate should have experience in stochastic optimization for logistics problems in urban areas.

The hired researchers will be encouraged toward mobility and collaboration among the four research units (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria) and will be involved in a dynamic international environment. The positions will come with competitive salaries.

Applicants must hold a Ph.D. in a quantitative field and have a publication record in mathematical optimization. They also need to have programming skills and experience with optimization software.

Expressions of interest are welcome no later than January 15th, 2022 and should be sent to: francesca.maggioni@unibg.it

More information on the position and instructions for the submission of applications will be shared soon.

Department of Economics, Statistics and Finance “Giovanni Anania”, University of Calabria Italy Go Academia
15 Jan 2022 2 years postdoctoral position PRIN 2020 Project - University of Bergamo

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Dear Colleagues,

we would like to announce full-time post-doctoral position in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” granted by the Italian Ministry of University and Research (https://www.mur.gov.it/it/atti-e-normativa/decreto-direttoriale-n-2283-del-29-09-2021).

The position will start in spring 2022 (2 years, renewable for a third) and will be led by Prof. Francesca Maggioni at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy). The activity will be devoted to the development of new optimization models and efficient algorithms for problems in urban logistics affected by uncertainty and on an integrated framework for stochastic programming and machine learning. The ideal candidate should have experience in stochastic programming, distributionally robust optimization and machine learning.

The hired researchers will be encouraged toward mobility and collaboration among the four research units (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria) and will be involved in a dynamic international environment. The positions will come with competitive salaries.

Applicants must hold a Ph.D. in a quantitative field and have a publication record in mathematical optimization. They also need to have programming skills and experience with optimization software.

Expressions of interest are welcome no later than January 15th, 2022 and should be sent to: francesca.maggioni@unibg.it

More information on the position and instructions for the submission of applications will be shared soon.

Department of Management, Information and Production Engineering of the University of Bergamo Italy Go Academia
15 Jan 2022 2 years postdoctoral position PRIN 2020 Project - University of Brescia

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Dear Colleagues,

we would like to announce full-time post-doctoral position in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” granted by the Italian Ministry of University and Research (https://www.mur.gov.it/it/atti-e-normativa/decreto-direttoriale-n-2283-del-29-09-2021).

The position (2 years) will be led by Dr. Daniele Manerba at the Department of Information Engineering of University of Brescia (Italy). The activity will be devoted to the development of optimization models and algorithms for deterministic and stochastic problems in distribution and reverse urban logistics, with a special focus on multi-modal and sustainability features. The ideal candidate should have experience in mathematical programming (modeling and solving) approaches and a background in optimization under uncertainty.

The hired researcher will be encouraged toward mobility and collaboration among the four research units (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria) and will be involved in a dynamic international environment. The positions will come with competitive salaries.

Applicants must hold a Ph.D. in a quantitative field and have a publication record in mathematical optimization. They also need to have programming skills and experience with optimization software.

Expressions of interest are welcome no later than January 15th, 2022 and should be sent to: francesca.maggioni@unibg.it

More information on the position and instructions for the submission of applications will be shared soon

Department of Information Engineering of University of Brescia Italy Go Academia
15 Jan 2022 Call for Interest – Four postdoctoral positions PRIN 2020 Project, Italy

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Dear Colleagues,

we would like to announce four full-time post-doctoral positions in the context of the Italian Project “Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2020)” entitled: “ULTRA OPTYMAL - Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” granted by the Italian Ministry of University and Research (https://www.mur.gov.it/it/atti-e-normativa/decreto-direttoriale-n-2283-del-29-09-2021).

• The first position will start in spring 2022 (2 years, renewable for a third) and will be led by Prof. Francesca Maggioni at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy). The activity will be devoted to the development of new optimization models and efficient algorithms for problems in urban logistics affected by uncertainty and on an integrated framework for stochastic programming and machine learning. The ideal candidate should have experience in stochastic programming, distributionally robust optimization and machine learning.

• The second position (1 year, renewable for a second) will be led by Prof. Enza Messina at the Computer Science Department, University of Milano-Bicocca. The activity will be devoted to the development of data driven scenario generation (also using deep learning models) and its integration in a reinforcement learning framework. The candidate will be part of a dynamic and multidisciplinary research group. The ideal candidate must have a background in mathematical programming models under uncertainty, machine learning and statistical learning models.

• The third position (2 years) will be led by Dr. Daniele Manerba at the Department of Information Engineering of University of Brescia (Italy). The activity will be devoted to the development of optimization models and algorithms for deterministic and stochastic problems in distribution and reverse urban logistics, with a special focus on multi-modal and sustainability features. The ideal candidate should have experience in mathematical programming (modeling and solving) approaches and a background in optimization under uncertainty.

• The fourth position (1 year, renewable for a second) will be led by Dr. Francesca Vocaturo at the Department of Economics, Statistics and Finance “Giovanni Anania”, University of Calabria (Italy). The research activities will fit into the reverse logistics area. Specifically, the aim is to develop efficient approaches to problems concerning the management of backward flows under uncertainty. The ideal candidate should have experience in stochastic optimization for logistics problems in urban areas.

The hired researchers will be encouraged toward mobility and collaboration among the four research units (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria) and will be involved in a dynamic international environment. The positions will come with competitive salaries.

Applicants must hold a Ph.D. in a quantitative field and have a publication record in mathematical optimization. They also need to have programming skills and experience with optimization software.

Expressions of interest are welcome no later than January 15th, 2022 and should be sent to: francesca.maggioni@unibg.it

More information on the position and instructions for the submission of applications will be shared soon.

With best regards,
Francesca Maggioni, Enza Messina, Daniele Manerba, and Francesca Vocaturo

Reference e-mail: francesca.maggioni@unibg.it

University of Bergamo, University of Brescia, University of Calabria, and University of Milano Bicocca Italy Go Academia
31 Dec 2021 Operations Intelligence Associate (m/w/d)

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THIS IS US

Basically we're changing how a city breathes and moves with sustainable and innovative ways to improve urban travel options for everyone. We're on a one-way trip to create a world with less pollution, less traffic jams and more ways to explore your city without leaving an impact. Climate-neutral TIER Mobility is Europe’s leading provider of micro-mobility, with a mission to change mobility for good.

Since we opened our doors in October 2018, +100 cities have chosen us across 12 markets. More than +950 people have joined us on our mission to change mobility for good. In November 2020, TIER successfully raised $250m in Series C funding to accelerate our ambitious plans, with investors such as SoftBank, Mubadala Capital, Northzone, and Goodwater Capital.

We actively encourage a diverse and inclusive environment that fosters each employee’s individuality at TIER. We take affirmative action to ensure equal opportunity for your applications, regardless to your nationality, ethnic or national origin, skin color, religion, disability, sex, sexual orientation or gender identity. Come as you are and join our ride.

Permanent employee, Full-time

GET AN IMPRESSION OF THE TEAM

Change the world for good? Sure, let’s start by revolutionising global mobility! Operations Intelligence is a team of ambitious, courageous, and curious people who value transparency and open-mindedness at work and in all our interactions. We believe that work should be both fun and challenging. Therefore we never settle for average and are always on the hunt for new ways to develop ourselves and the company. We achieve this by combining technical expertise with a deep understanding of business problems, while speaking one global language: data. Our work has a company-wide impact as we empower hundreds of colleagues worldwide to make data-driven decisions on a daily basis.

THE ROLE AND YOUR IMPACT AT TIER

Analysis of processes, products and features to evaluate and improve operational efficiency and profitability
Creation of actionable strategies based on data-driven conclusions
Generation of data insights by selecting and defining new and relevant data points while
constantly ensuring data quality
Development of dashboards, tools and custom reports to track key metrics and support our cities
and other stakeholders (such as Central and Market Operations, Customer Success, Expansion, Product) in data-driven decisions
YOU’LL FIT GREAT WITH THESE SKILLS AND QUALIFICATIONS

1-2 years’ experience in data analysis, preferably in Operations and a degree in fields such as economics, statistics, mathematics, logistics, business development, consulting
Strong analytical, communication and problem-solving skills; comfortable working in a fast-paced and demanding environment
Proficiency in analytics solutions such as Looker, Tableau, Kepler or Amplitude; SQL/Python is a plus
Fluent in English, spoken and written language
THIS MAY INSPIRE YOU

Join us at the forefront of one of the most exciting and rapidly moving industries
We’re agile, we’re growing and so will you! At TIER, there’s space for exponential professional development and room to make a huge impact on the business going forward
Being part of the team means you’re part of its success. Our ESOP program gives you an opportunity to have a share in the company – nothing like invested interest!
We appreciate your talent and support your growth with an annual development budget
Surf your city with free rides on our e-scooters and e-mopeds
Diversity and inclusivity is super important to us, so enjoy initiatives and programs such as #WomenofTIER
Expect company onboarding and team events with international colleagues from all over the world
Benefit from flexible hours and our work from home policy
Enjoy amazing views at our centrally located office at Potsdamer Platz, with a variety of different restaurants and great transport connections
We actively encourage a diverse and inclusive environment that fosters each employee’s individuality at TIER. We take affirmative action to ensure equal opportunity for your application, regardless to your nationality, ethnic or national origin, skin color, religion, disability, sex, sexual orientation or gender identity. Come as you are and join our ride!

In case you are living with disabilities, chronic illness or neurodiversity please inform us, to provide you with the proper assistance in the application process.

If we could spark your interest and you want to change mobility for good with us, apply now and let us know why you’re the one for the job! We encourage everyone to apply and grow with us. Even if you may not tick all the boxes of the requirements, we are happy to hear about the value you can add to the team. We are all learners!

Tier Mobility Germany 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
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