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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.

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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

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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

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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.

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Si segnalano i due seguenti bandi di Assegno di Ricerca presso l'Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" del Consiglio Nazionale delle Ricerche, CNR-IASI.

Codice Bando IASI-001-2022-RM-Prot 0002741, scadenza : 10/02/2022
- Selezione pubblica per : titoli e colloquio
- Numero assegni : 1
- Diplomi di laurea: Ingegneria gestionale, Ingegneria informatica, Informatica, Matematica
- 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 pianificazione, routing, e alle attività previste nell’oggetto del presente bando;
- Conoscenza di linguaggi di programmazione "C++" o "Python"; conoscenza di architetture a microservizi REST API;
- Conoscenza di pacchetti di ottimizzazione "cplex" o "gurobi";
- Conoscenza di tecniche di analisi dati Machine Learning / Artificial Intelligence;
- Conoscenza della lingua inglese;
- Conoscenza della lingua italiana (solo per i candidati stranieri)
- Area scientifica : -
- Struttura destinataria : Istituto di Analisi dei Sistemi ed Informatica 'Antonio Ruberti'
- Sede (provincia) : Roma (RM)

Link Avviso:
https://bandi.urp.cnr.it/doc-assegni/documentazione/12079_DOC_IT.pdf

**********************************************************************************************************************************************************************************************************

Codice Bando IASI-002-2022-RM-Prot 0002744, scadenza : 10/02/2022
- Selezione pubblica per : titoli e colloquio
- Numero assegni : 1
- Diplomi di laurea: Ingegneria gestionale, Ingegneria informatica, Informatica, Matematica
- 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 localizzazione, routing, e delle attività previste nell’oggetto del presente bando;
- Conoscenza di linguaggi di programmazione "C++" o "Python"; conosecenza di architetture a microservizi REST API;
- Conoscenza di pacchetti di ottimizzazione "cplex" o "gurobi";
- Conoscenza di tecniche di analisi dati Machine Learning / Artificial Intelligence;
- Conoscenza della lingua inglese;
- Conoscenza della lingua italiana (solo per i candidati stranieri)
- Area scientifica : -
- Struttura destinataria : Istituto di Analisi dei Sistemi ed Informatica 'Antonio Ruberti'
- Sede (provincia) : Roma (RM)

Link Avviso:
https://bandi.urp.cnr.it/doc-assegni/documentazione/12080_DOC_IT.pdf

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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.

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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

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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

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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.

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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

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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.

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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.

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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!

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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

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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

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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

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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.

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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.

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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.

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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.

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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.

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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 .

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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

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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

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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