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Displaying opportunities 1 - 25 of 458 in total
Expires Title Institution Country Link Type
17 Jun 2022 2x Joint PhD positions Joint Imperial College + TUM

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

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

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

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

Kind Regards,
Dario

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

Imperial College and TUM United Kingdom and Germany Go Academia
22 Mar 2022 Data Scientist - 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
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
12 Mar 2022 Operational Research Scientist at LINKS Foundation (Turin)

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

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

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

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

One or more of the following is considered a plus:

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

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

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

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

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



Job title: software engineer

Type of Contract: permanent contract

Division: Software Department

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



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

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

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

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

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

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

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

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



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



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



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

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

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

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

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

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

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

Optit Italy Go Industry
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
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

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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 PhD position in Control, Optimization and Complex Systems

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

Please refer to the official web page for info:

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

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

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Dear Colleagues,

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

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

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

Cari saluti,
Alberto Bemporad

IMT Lucca Italy Go Academia