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Siamo alla ricerca di un candidato in ambito informatico da inserire nel nostro staff come programmatore.
Il candidato ideale è preferibilmente in possesso di una Laurea (triennale e/o Specialistica) in discipline informatiche o cultura equivalente.
Il candidato entrerà a far parte di una società dinamica e si occuperà dello sviluppo di progetti a carattere tecnologicamente innovativo. Inoltre, dovrà garantire il supporto tecnico e applicativo dei prodotti e sistemi installati presso il cliente finale.

Requisiti Richiesti
• Conoscenza linguaggi PHP, SQL, Html5, CSS3, Javascript, Java
• Conoscenza dei framework Javascript come JQUERY, VUE.JS, ANGULAR, REACT
• Conoscenza dei framework CSS come Bootstrap
• Uso e amministrazione di DataBase relazionali, in particolare MySQL
• Creazione di applicazioni ibride per Android e iOS
• Framework XCode, Sencha-Touch
• Conoscenza di (almeno uno): ‪EmbOS e/o FreeRTOS‬‬‬
• GPS e relativi algoritmi (ad esempio dead reckoning)
• Sviluppo di applicazioni web-based per il telemonitoraggio.
• Tecniche di rilevamento satellitare GPS (statico, cinematica, stop & go, RTK).
• Conoscenza Sistemi operativi Windows, MacOs e Linux/Linux ‐ RT
• Esperienza in ‪applicazioni embedded in C++‬‬‬
• Esperienza in merito all’analisi, progettazione e sviluppo di applicazioni Java e/o .Net

Contratto da definire in base alla seniority.
Sede di lavoro da definire

Contact email: giannini@mutiprotexion.com

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Siamo una realtà leader nei sistemi di sicurezza nel trasporto merci e nella logistica, e per ampliamento del nostro organico R&D in ambito IT ricerchiamo sviluppatori junior e senior sulla nostra sede di Pavia.
Il candidato ideale ha acquisito competenze nell'ambito dello sviluppo in ambiente Microsoft. Si occuperà, insieme al team, di progetti web oriented, propedeutici all'ottimizzazione degli applicativi legati al mondo della sicurezza logistica e trasporti.

Requisiti:

Must Have:
Conoscenza ambiente .NET e linguaggio C#;
Esperienza nello sviluppo front end (jquery, css, html);
Esperienza nello sviluppo back end (procedure, bath, etc);
Ottima conoscenza SQL.
Nice to Have:
Conoscenza del Design Patterns e principi di base della programmazione;
Conoscenza di test automation (unit test, integration test,ecc..);
Conoscenza metodologie agili di sviluppo;
Esperienze di sviluppo app mobile;
Problem solving.
Offriamo assunzione a tempo determinato e compenso commisurato all'esperienza.

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An open post-doc position funded on "Centro Nazionale 1 - Simulazioni, calcolo e analisi dei dati ad alte prestazioni - Spoke n. 6 Multiscale Modelling & Engineering Application" of PNRR. Funding is for one year, but extension can be considered in case of mutual interest. The actual research line is very open, and it can vary from large-scale optimization of multilevel multiscale energy or logistic systems (possibly using decomposition methods and the SMS++ systems) to numerical algorithm methods for multiscale network analysis.

For more details, please contact Antonio Frangioni (frangio@di.unipi.it)

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Applicants need to present a short project proposal. The theme can be free however our research group is mainly interested in exploring the interplay between optimization under uncertainty and machine learning. For more details please do not esitate to contact enza.messina@unimib.it

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We have a post-doc offer at IMT Atlantique, Nantes (France) in the context of the DECARBOMILE European project on city logistics, with a strong facility location component.
This project involves 31 partners from 10 countries, we will mainly work with companies in Italy and Spain.
We are looking for a post-doc in this project. The description of the offer is here :
https://institutminestelecom.recruitee.com/l/en/o/postdoctorante-ou-postdoctorant-en-recherche-operationnelle-pour-la-logistique-urbaine-cdd-12-mois

Candidates must holds a recent PhD (less than 3 years) in Computer Science or Operations Research.
The 12 month contract is renewable.

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Contract Type: Fixed Term - 24 Months

Closing Date: 23.59 hours BST on Sunday 23 October 2022 (unless otherwise stated)

Applications are invited for a 2-year Postdoctoral Research Associate (PDRA) position in the area of Operational Research (Optimisation) starting in January 2023 or soon thereafter. The PDRA will join the Department of Analytics, Operations and Systems (DAOS) in Kent Business School. The successful candidate will work closely with Prof Maria Paola Scaparra and other DAOS academics with the primary goals of publishing in top operational research journals and generating impactful research. The PDRA will have wide latitude to help frame and design the specific programme of research. Potential areas of investigation include, but are not limited to, sustainable development, disaster management, healthcare, transportation, and infrastructure planning. The post holder will further assist in the preparation of grant applications and support the research culture of the Business School by attending and contributing to relevant meetings, research seminars, and workshops.

Applicants should hold a PhD in Operational Research, Management Science, Business Analytics, Mathematics, Computer Science or a closely related discipline. The ideal candidate will have a firm knowledge of optimisation modelling, for example combinatorial, stochastic and robust optimisation, and exact and meta-heuristic solution approaches. Knowledge of optimisation software, good computer programming experience, as well as excellent written and communication skills are essential. Applications will be assessed based on relevant skills and previous publication record.

Working as a PDRA at Kent Business School is to be part of the 1% of global business schools to gain ‘Triple Crown’ accreditation from three top business organisations: European Quality Improvement System (EQUIS) from the European Foundation for Management Development (EFMD), The Association to Advance Collegiate Schools of Business (AACSB) and The Association of MBAs (AMBA). We also gained the Small Business Charter Award in 2018.

Within the school, colleagues in the Department of Analytics, Operations and Systems pride themselves on research excellence and conduct internationally leading research in operational research, data analytics, operations management, information systems and sustainability.

The successful candidate will be based in the RIBA award-winner Sibson Building on the main Canterbury campus. Canterbury offers excellent places to live, easy links to central London and Europe via high-speed trains and stunning cultural and historical attractions. Kent also offers much in the way of outdoor life as well as an enviable climate.

Please click the 'Apply' button above to view the full job description and also to apply for this post. The application should include: a detailed CV, a one-page cover letter and a one-page “Research Interests & Plan” statement. If you require further information regarding the application process please contact KBS HR on kbshr@kent.ac.uk quoting ref number: KBS-115-22.

For an informal discussion, please contact Professor Maria Paola Scaparra, Professor of Management Science (m.p.scaparra@kent.ac.uk).

Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.
Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.
The University of Kent values diversity and promotes equality at all levels.

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Postdoc position (two years) at Luiss University on the topic

Learning in strategic and stochastic environments

This project lies at the interface of mathematical game theory, algorithmic game theory, machine learning, optimization, and high-dimensional probability. Despite its theoretical nature, it will be motivated by applications in operations management, supply chain, algorithmic mechanism design, online matching markets, computational social choice, queueing, networks, etc.

Deadline: September 30, 2022 - 2 p.m. - Central European Summer Time (CEST), UTC +2

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there is still time to apply for a PhD position in the Department of Industrial Engineering at the University of Louisville with start date January 1, 2023.

Interested applicant will work with Dr. Monica Gentili on "optimization models and algorithms for dynamic link prediction on networks”.

Deadline for application is September 30, 2022.

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Hai una laurea magistrale in 𝗠𝗮𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗮, 𝗙𝗶𝘀𝗶𝗰𝗮, 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮, 𝗦𝗰𝗶𝗲𝗻𝘇𝗲 𝗱𝗲𝗹𝗹’𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘇𝗶𝗼𝗻𝗲, 𝗜𝗻𝗴𝗲𝗴𝗻𝗲𝗿𝗶𝗮, 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗮? Non lasciarti sfuggire questa interessante opportunità lavorativa presso l’Istituto per le Applicazioni del Calcolo del Consiglio Nazionale delle Ricerche (CNR), nell’ambito del progetto Sportello Matematico. È aperta una selezione pubblica, per titoli e colloquio, per il conferimento di un assegno di ricerca annuale sulla tematica: "Modelli e sistemi di ottimizzazione matematica per la pianificazione degli investimenti".

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Allegato: https://www.unipd.it/sites/unipd.it/files/2022/2022RUB03%20-%20All.%2022%20-%20MAT%2009.pdf

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Dipartimento di Informatica
Settore concorsuale 01/A6 Ricerca operativa
SSD MAT/09 “Ricerca operativa”
Ricercatori a tempo determinato con regime di impegno a tempo pieno di tipo A
n.1 posto

Specifica attività di ricerca:
Tematiche di ricerca del SSD MAT/09 secondo quanto previsto dalla declaratoria del settore

Obiettivi di produttività scientifica:
Avanzamento dello stato dell’arte in Ricerca Operativa con risultati pubblicati a livello internazionale

Sede svolgimento delle attività:
Dipartimento di Informatica, Università di Pisa

Attività didattica specifica prevista:
Insegnamenti del SSD MAT/09 secondo quanto previsto dalle normative nazionali e secondo le esigenze di copertura didattica dei percorsi formativi delle lauree e lauree magistrali dell’Ateneo

Numero massimo di pubblicazioni presentabili dai candidati, ivi compresa la tesi di dottorato: 12

La prova orale accerterà la conoscenza della lingua: inglese

Link al bando: https://alboufficiale.unipi.it/wp-content/uploads/2022/06/bando-10-rtda-ALBO.pdf

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The Algorithms and Complexity Group of IDSIA, USI-SUPSI, Lugano (Switzerland), opens 2 Ph.D. positions and some PostDoc positions. These positions are supported by the Swiss National Science Foundation project "Ideal Membership Problems and the Bit Complexity of Sum of Squares Proofs" (November 2022-October 2026).


The project is on the interface of three very active areas of research in theoretical computer science and mathematics. The first one deals with polynomial ideals and their properties and goes all the way back to David Hilbert. The second one is a widely used tool in complexity, algebraic and semi-algebraic proof systems such as Sum-of-Squares (SoS), where the main question is when a proof of a certain property of a polynomial can be efficiently found. The third area is the analysis of the complexity of constraint satisfaction problems (CSPs), mainly through the universal-algebraic approach. These areas address key problems in theoretical computer science, they produce a very significant amount of world class research, with many publications in world-leading venues in theoretical computer science. The proposed project is about a new direction of research combining these three areas mentioned above. This new direction of research was recently initiated by the PI of this project in a series of publications and followed up by other works by world-leading experts on universal-algebraic methods in CSPs. The new direction proposes to combine two widely used methodologies in a new way, with an algebraic geometry view used to bring them together. This new combination opens up a whole range of new very interesting problems.

The Ph.D. positions are for 2+2 years, and they are supposed to start on November 1st 2022 with moderate flexibility. The gross salary is around 50.000 CHF per year, with low taxes. The position involves a moderate teaching load (as teaching assistant) at USI. There is travel support. Candidates should hold (or be close to obtaining) a Master Degree in Computer Science or related areas. A solid background in Algorithms, Computational Complexity, Discrete Mathematics, Mathematical Programming is helpful. A good knowledge of written and spoken English is also required (while knowledge of Italian is not needed).

The PostDoc positions are initially for 1 year, but an extension by 1 extra year is expected (further extensions are possible). The project supports 1 PostDoc position per year on average. The gross salary is around 80.000 CHF per year, with low taxes. There are no teaching duties and there is travel support. Candidates should hold (or be close to obtaining) a Ph.D. in Computer Science or related areas and should have a solid publication record and a solid background in at least one of the areas mentioned above.

IDSIA offers an international working environment. Lugano is a tidy and lively town, with a wonderful view on Ceresio lake and mountains around. Ticino Canton offers many opportunities for hiking, biking, skiing, etc. Local restaurants serve very good food.

The interested candidates should email a detailed CV and contact details of 2-3 references to Prof. Monaldo Mastrolilli, monaldo at idsia.ch.
For full consideration, Ph.D. and Postdoc applications should be sent within 30th June 2022. Further PostDoc applications can be sent at any time during the first 3 years of the project.

For any question, do not hesitate to contact:
Prof. Monaldo Mastrolilli
monaldo at idsia.ch
http://people.idsia.ch/~monaldo/

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PHD POSITION IN COMBINATORIAL OPTIMIZATION AT KU LEUVEN
https://www.kuleuven.be/personeel/jobsite/jobs/60125442

The Research Centers OM and ORSTAT at the Faculty of Economics and Business of KU Leuven (Belgium) are offering a position for a full-time PhD student.

Project
The position is associated with the research project "Designing resilient and recoverable infrastructures via multi-level and multi-stage optimization". The goal of the project is to develop algorithms for planning and optimizing resilient network infrastructures (for energy, transportation, communication), considering both the design of the network as well as recovery operations after a potential large-scale disruption. We are interested both in the theoretical analysis of such algorithms, yielding proven worst-case guarantees, as well as thorough evaluation in computational experiments.

Profile
We are looking for a highly motivated candidate with a strong background in mathematics, theoretical computer science, operations research, or a closely related field, who recently completed their master's degree or is about to complete it in 2022. Good knowledge of combinatorial optimization (algorithms, network and scheduling problems, mathematical programming etc.) and/or strong programming skills are an asset.

Offer
KU Leuven is the largest university of Belgium and ranked among the top 50 universities in the world. Leuven is a beautiful and liveable city with a large and international student population in the heart of Europe, only a 20min train-ride from Brussels and well-connected to many other European metropoles. Our faculty is located in the historic city center, just a 5min walk from the UNESCO World Heritage Site "Groot Begijnhof".

We offer employment as a full-time doctoral scholar for initially one year, renewable for up to four years after positive evaluation. Salary is competitive and funds for conference travels, participation in summer schools, and other activities are available. The tentative starting date is October 2022, but later dates are possible, depending on the availability of the candidate.

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality, or impairments.

Interested?
For questions regarding this position please contact one of the principal investigators:
Prof. dr. Jannik Matuschke - https://sites.google.com/view/jannikmatuschke, jannik.matuschke@kuleuven.be
Prof. dr. Hande Yaman - https://www.kuleuven.be/wieiswie/en/person/00123317, hande.yaman@kuleuven.be

Please apply via the link above. Applications will be reviewed immediately until the position is filled.

Your application should include
- a detailed CV,
- a letter of motivation,
- transcripts with grades of MSc/BSc courses,
- names and contact details of at least two academic references.
You can apply for this job no later than June 30, 2022 via the online application tool

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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

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

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

About Paack 📦

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

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

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

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

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

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

Our team 🤲

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

About the job 👩‍💻👩‍💻

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

Key tasks and Accountabilities:

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

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

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

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

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

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

Sound like a fit? Come and join our success

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Please note that the post-doc position is at University of Pisa but for working with MAIOR S.r.l.
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L’Università di Pisa - Dipartimento di Informatica - ha aperto un bando per un assegno biennale (per titolari di laurea specialistica) dal titolo “Approcci Data-Driven per Servizi di Trasporto Resilienti E Sostenibili”- Acronimo “ADDSTRES”.

Il progetto ADDSTRES, cofinanziato dalla Regione Toscana, è in collaborazione con la M.A.I.O.R. S.r.l. (https://www.maior.it), da oltre 30 anni il riferimento in Italia per i sistemi di supporto alle decisioni dedicati alla mobilità (trasporto pubblico urbano, trasporto aereo, trasporto ferroviario) ed in forte espansione sui mercati internazionali.

Sintesi dell’attività di ricerca dell’assegno: “Le moderne tecnologie di monitoraggio del servizio di trasporto pubblico forniscono una grande mole di dati, di diverse tipologie, che il progetto intende valorizzare attraverso un approccio multidisciplinare basato sull'applicazione di tecniche di data mining, machine learning, analisi statistica e ricerca operativa, per valutare la bontà e la robustezza del servizio offerto, stimare gli effetti sull’utenza di eventi imprevisti, ed offrire un servizio di trasporto sostenibile, resiliente ed adeguato alla domanda di mobilità pubblica.”

Se avete richieste di dettagli o avete un/a candidato/a interessato/a, contattate liberamente via e-mail Antonio Frangioni (antonio.frangioni@unipi.it ) e Alessio Micheli (alessio.micheli@unipi.it)

E-mail di contatto: frangio@di.unipi.it

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We are pleased to announce that SKEMA Business school (France) in collaboration with the Faculty of Economics and Business of KU Leuven (Belgium) has three full-time Ph.D. positions starting in September 2022, for a period of four years.

The researchers to be hired will work in the fields of Operations Research, Operations Management and AI/Machine Learning, with applications to health services, scheduling, transportation, finance, energy, among others.

More details on each Ph.D. position and how to apply can be found through the following links:

Ph.D. position in Operations Research (PHD-OR-2022)
https://www.kuleuven.be/personeel/jobsite/jobs/60096226

Ph.D. position in Operations Research: theory and applications (PHD-ORTA-2022)
https://www.kuleuven.be/personeel/jobsite/jobs/60096238

Ph.D. position in Operations Research Applied to Health Services (PHD-ORAHS-2022)
https://www.kuleuven.be/personeel/jobsite/jobs/60096240

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The Sheffield University Management School invites applications for an open-ended lectureship (assistant professor) in Decision Sciences.

Lecturer in Decision Sciences
Management School
Salary: £42,149 - £50,296 per annum. Potential to progress to £56,587 per annum through sustained exceptional contribution
Closing Date: 26 May 2022
Interview Date: 23 June 2022
Reference: UOS032857

We are pleased to announce the Sheffield University Management School is looking for new world-leading academics to join the OMDS Subject Group for an open-ended post as Lecturer (Assistant professor) in Decision Sciences.

We welcome applications from researchers working in any area of Operational Research and Management Science (OR/MS), who can contribute to the School and the wider University in the areas of research, teaching, leadership and professional standing and wider engagement.

Candidates will show a track record of excellent research outputs published on top-ranked journals in the area of Operational Research and Management Science, and will be able to contribute to the vast offering of core modules in Decision Analytics, Operational Research, Optimisation and Operations Management.

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 26th May and join us at the OMDS group: tinyurl.com/3kw98558

For informal enquiries about this job and the recruiting department, contact: Dr Antonino Sgalambro (a.sgalambro@sheffield.ac.uk)

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Dear Colleagues,

I would be more grateful if you can bring to the attention of suitable candidates the following one-year (extensible for a second year) full time postdoctoral fellowship on "Optimization under uncertainty and machine learning methods for sustainable urban logistics problems" (scientific sector MAT/09 Operations Research) at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy).
The position will be supervised by Francesca Maggioni and Tommaso Lando and is 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”, prot. n. 20207C8T9M granted by the Italian Ministry of University and Research. More info here: https://ultraoptymal.unibg.it/.

The research 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 methods for urban logistics.
The hired researcher will be involved in a dynamic international environment and will be encouraged toward mobility and collaboration among the four research units involved in the PRIN project (University of Bergamo, University of Milano-Bicocca, University of Brescia, and University of Calabria).

The annual gross salary is € 22.220,00.
The position is expected to start on July 1st 2022 unless exceptional circumstances require an alternative start date.

Full information about the position and the application process can be found here: https://pica.cineca.it/unibg/22ar009
specifying the code n. 1.

Application deadline: May 6, 2022.

For further information about the position or the application procedure, please write to francesca.maggioni@unibg.it

With best regards,
Francesca Maggioni

Reference email: francesca.maggioni@unibg.it

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It is now widely recognized that the slowness of the Italian civil justice system produces negative effects on the economy of the Nation. It, therefore, becomes of fundamental importance to implement an improvement in the efficiency and quality of the national judicial system. The reorganization of the judicial machine involves several directions and, in this sense, the optimization of resources plays a fundamental role in reducing the operating times of judicial offices, at the same time guaranteeing an increase in the level of quality of the work of judges and clerks, as well as the upgrading of the image of "Justice at the service of the country".

Reference email:
paola.cappanera@unifi.it

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1-year postdoc position in Operations Research
(ref. BAP-2022-150)

The research group ORSTAT of KU Leuven (Belgium) works in the areas of Operations Research (OR) and Statistics. The ongoing research projects cover a wide range of challenging subjects in these two fields.

ORSTAT has a vacancy for one full-time postdoctoral researcher in OR starting in September 2022, for a period of one year. The researcher to be hired will work together with prof. Hande Yaman and prof. Roel Leus. Some of our research interests are: combinatorial optimization, integer (linear) programming, stochastic and robust optimization, algorithm design, ... The candidate will be able to fully spend his/her time on research; we hope to stimulate collaboration between the different members of our group. We also expect the candidate to be willing to co-supervise some of the junior PhD-researchers in the group. We offer a dynamic and pleasant working environment, in a group that is actively involved in scientific research at the highest international level.

Profile
Candidates should have a strong research profile in OR, preferably with a sound expertise in mathematical programming and algorithm design.

Offer
We offer employment as postdoctoral researcher for 1 year. The tentative starting date is September 19, 2022, depending on the availability of the candidate.

Interested?
For more information please contact Prof. Hande Yaman (hande.yaman@kuleuven.be) or Prof. Roel Leus (roel.leus@kuleuven.be).

You can apply for this job no later than April 22, 2022 via the online application tool. See
https://www.kuleuven.be/personeel/jobsite/jobs/60103640?hl=en&lang=en

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

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We invite applications from suitably qualified Post-Doctoral Researchers to work in the area of scheduling and combinatorial optimization. The position will suit a newly qualified Post-Doctoral Researcher. The successful candidate will work under the supervision of Dr Michele Garraffa, who is a Senior Research Co-ordinator in the School of Computer Science & Information Technology, University College Cork, Ireland, and Dr Cemalettin Ozturk, who is a Lecturer of Logistics & Supply Chain in Munster Technological University, Cork, Ireland.

The Post-Doctoral Researcher will work on developing models and algorithms for energy-efficient manufacturing scheduling problems in the area of combinatorial optimization. The position will be filled on a fixed-term basis for a 12-month period and it is conceived as a seedling project to develop basic research in the area of energy-efficient scheduling and combinatorial optimization. The initial research project will regard how energy-aspects are impacting on the solution of state-of-the-art scheduling problems. These aspects may include constraints on the maximum power, time-dependent tariffs, use of renewable-energy resources, etc. The project will also include a collaboration with Politecnico di Torino and will provide support for travel to international conferences.

The advertisement can be accessed at the following url: https://ore.ucc.ie/ (reference number 054433)

Reference e-mail:
michele.garraffa@ucc.ie

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Keywords: Network optimization, Integer programming, Bilevel programming, Demand estimation, Transportation systems, Location analysis
Short description: The oil, gas and transport sectors are responsible for a substantial amount of Greenhouse Gas (GHG) emissions in Canada. GHGs ultimately cause global warming, which significantly affects the environment. Green initiatives such as increasing green space locations, introducing bike lanes, or expanding available electric vehicle charging stations are decisions whose optimal planning can contribute significantly to improving the environment and its sustainability. The research will involve formulating optimization models in this context, incorporating the interplay between green initiatives and population response, and designing algorithmic approaches to address them. The work will include collaboration with stakeholders in Quebéc.
Applications from women, visible minorities, Aboriginal people, people with disabilities, people with any sexual orientation or gender identity are encouraged.
Montreal ecosystem and team: Montreal has a vibrant research community in Operations Research, including the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) with which the postdoctoral fellow will also be associated. Moreover, the postdoctoral fellow will integrate the team of Prof. Margarida Carvalho and be part of the FRQ–IVADO Research Chair in Data Science for Combinatorial Game Theory; additional details here. The opportunity to visit the University of Edinburgh and work with Prof. Miguel Anjos during the fellowship will be available.
Qualifications: PhD in Operations Research or related fields. Starting date: As soon as possible.
Deadline for application: From now until the position is filled.
Submission process: Please send a CV and cover letter to Prof. Margarida Carvalho (carvalho@iro.umontreal.ca).

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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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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.