AIRO Young Opportunities

Do you know of more opportunities?

Let us know using the form below, filling in our form, or posting to our group.

Your name
Your email
Title
Url

Refine your search

Search

  Only look for open opportunities
  Only look for opportunities in academia
  Only look for opportunities in the industry

Displaying opportunities 1 - 25 of 498 in total
Expires Title Institution Country Link Type
25 Jan 2024 Operations Research specialist

Toggle description

Sei un appassionato di OR e vuoi farne una professione?
Vuoi lavorare alla concettualizzazione, design, realizzazione ed evoluzione di modelli e algoritmi per supportare le decisioni in ambiti aziendali e industriali complessi?
Desideri collaborare in un ambiente giovane e dinamico, in cui specialisti di Data Science e Analytics contribuiscono, insieme a Consulenti di Business e una SW factory full stack, per costruire insieme soluzioni capaci di fare la differenza?
Sei capace di operare in un contesto internazionale, lavorare per obiettivi, coniugando passione, impegno in un ambiente dinamico e stimolante?
Optit potrebbe essere la tua occasione per mettere a frutto il tuo percorso accademico ed entrare nel mondo del lavoro!

Chi è OPTIT
Optit (www.optit.net) nasce nel 2007 come spin-off dell’Università di Bologna nella Ricerca Operativa, per sviluppare soluzioni (Decision Support Systems) e servizi di forecasting, data analysis, simulazione e ottimizzazione di sistemi complessi, operando prevalentemente nei settori delle Energy & Utilities, Servizi, Finanza e Logistica. Optit integra competenze modellistiche, IT e consulenziali per lo sviluppo di progetti integrati di supporto al business, erogati sotto forma di fornitura di Soluzioni, Consulenza o Software as a Service.
La presente ricerca è orientata a rinforzare il team di Operations Research and Data Science, a supporto delle prospettive di crescita e internazionalizzazione dell’azienda.

Le tue sfide
Ti occuperai dell’analisi e dello sviluppo di modelli e algoritmi di Operations Research e Machine Learning, compreso il supporto alla gestione dei relativi progetti presso clienti nazionali ed esteri.
In particolare potrai:
 Partecipare all’analisi del problema di ottimizzazione del cliente ed alla modellazione della soluzione (analisi di fattibilità e prototipazione)
 Scrivere modelli e/o algoritmi secondo la strategia concordata
 Supportare il deployment delle soluzioni Optit presso il cliente (raccolta, verifica e inserimento dati, formazione e affiancamento dei key user).
 Fornire consulenza di ottimizzazione, basata sulle soluzioni Optit.
 Contribuire in modo originale al progresso della comunità dei practitioner dell’OR e ML a livello nazionale e internazionale

Le tue caratteristiche
Per affrontare al meglio le sfide che ti proponiamo, ricerchiamo queste caratteristiche:
 PhD in Operations Research maturato in Università Italiane o estere, ovvero laurea quinquennale con percorso accademico e lavorativo con esperienza rilevante in ambiti affini alla Operations Research. Conoscenza avanzata del dominio della Ricerca Operativa e degli Strumenti a Supporto delle Decisioni;
 Ottime capacità analitiche;
 Capacità di comunicare efficacemente idee e problemi con i colleghi e il management;
 Ottima conoscenza della lingua inglese (meglio se maturata in esperienze all’estero);
 Capacità di utilizzo di soluzioni informatiche e solver professionali (anche solo a livello accademico);
 Disponibilità a trasferte nazionali ed estere;
 Abilità nell’organizzazione del lavoro e nel time management;
 Intraprendenza e orientamento all’innovazione;
 Interesse al confronto e all’apprendimento continui.

Inizio attività: immediata
Sede di lavoro: Bologna (ovvero Cesena, su richiesta del candidato/a)

Il presente annuncio é rivolto ad entrambi i sessi, ai sensi delle leggi 903/77 e 125/91, e a persone di tutte le età e tutte le nazionalità, ai sensi dei decreti legislativi 215/03 e 216/03.

Inviare la propria candidatura a jobs@optit.net e/o a mariafrancesca.colombo@optit.net

OPTIT Italy Go Industry
16 Dec 2023 Engineer in Mathematical Optimisation

Toggle description

About Atoptima

Atoptima is a “DeepTech” start-up offering decision support technologies to «do more and better, while consuming less». We are contributing to respond to growing market expectations while achieving sustainable development.

To address this challenge, Atoptima deploys state of the art optimisation algorithms to put science to use in reducing our resource consumption. At the crossover of mathematics, computer science and management science, Atoptima brings software solutions to operations planning problems (such as vehicle routing or task scheduling) in a variety of sectors (such as logistics, healthcare, agriculture, or sustainable industry).

The company was born as a spin-off of an academic research team from Inria/CNRS/Université de Bordeaux and research labs in Brazil. Our team emerges as a leader in advanced combinatorial optimisation technologies, combining mathematical programming and artificial intelligence. Our expertise, accumulated over more than 25 years, gives rise to powerful solvers for optimisation problems that are helping key market actors.

Atoptima received the prestigious prize for innovation transfer (i-Lab) from the Ministry of Research and Innovation in France. We were selected by the French Tech in the NA20 short list, and are supported by BPI France as well as private investors. We are currently reinforcing our team to support our growth.

Job Description

Within our R&D team, you will contribute in designing and developing our optimisation solvers, in collaboration with our external academic partners. All our software developments are in-house. Open-source projects are developed in partnership with top notch academic research labs. Our Apps are developed in Julia and cloud-based as micro-services.

Your Missions
Methodologies and Optimisation Solutions
Conceiving and developing optimisation approaches together with our scientific team.
Deploying optimisation methods with clean implementation, striking for best performance.
Benchmarking algorithms scientifically, identifying sources of performance improvement.
Problem Solving
Modeling real-life application in optimisation.
Establishing the best algorithmic strategies to address the problem that can scale to realistic size instances.
Building an operational solver, making the best use of our software library.
Scientific Monitoring and Contributions
Investigating the state of the art in mathematical optimisation.
Deploying the relevant scientific contributions into our software library.
Contributing in the scientific publications of our team.

Location and working arrangements
You will be based in Bordeaux, in the brand-new offices at the Cité Numérique, the heart of the regional Tech ecosystem (nearby the train station).
Part-time home office is an option.
Permanent contract (CDI).

Salary and Advantages
Salary depending on profile and experience.
Dynamic and highly stimulating environment in a fast-growing tech startup.
Being part of a committed company with social and environmental impact.
Good perspective of career development, autonomy & flexibility.
Corporate culture of excellence, in an international team.
Health insurance 100% covered by the company; latest Mac equipment; …
Discover more about the corporate culture on: https://atoptima.com/jobs/

Profile we are seeking for
Skills: a generalist computer scientist/mathematician, well trained in mathematical optimisation, able to handle different technologies, with great curiosity, and eager for cutting-edge technologies and complex topics.
Versatility: open-minded and open to handle the wide spectrum of fields related to the job with a track record in software and algorithmic development.
Curiosity/Perceptiveness: since no one is an expert on all subjects, we seek for a fast learner that is proactive in tackling new problems with great curiosity.
Thorough/Analytics: enthusiastic of a job well done, while being able to be efficient and move fast to keep pace with a quickly-growing company.
Startup/Tech: having experience or at least be keen to develop and implement cutting-edge technologies via B2B SaaS business models.
Communication/Diplomacy: good communication skills in terms of acting with diplomacy while handling sensitive situations.
Fluent in English, written & spoken.

Recruitment Process
Applications are welcome any time to start as soon as possible.

Interviews
First contact by videoconference (~30mn): introducing ourselves respectively
Interview with the scientific team (~1h30) in our offices (or by videoconference if you live far from Bordeaux)
Interview in our offices with Atoptima’s founders (~1h30)
➔ To apply, send a resume and a few words to present your application to career@atoptima.com.

Atoptima Bordeaux, France Go Industry
02 Aug 2023 Junior Data Scientist – Optimization

Toggle description

Oròbix is looking for a talented Data Scientist with technical experience who is enthusiastic about developing, implementing and scaling robust, state-of-the-art OR solutions for a wide variety of applications.

Your role and responsibilities
You will join the fast growing group mainly dedicated to statistics, ML and DL and operational research. As a Data Scientist you will work with unique data sets from different sectors across the world and cutting-edge technology. You will follow the entire life cycle of the projects, from design to development, from production to monitoring. We need your curiosity and creativity to select, develop and fit the best algorithms to challenging and real-world problems.
You will have the opportunity to work on the Op.pla product, developing new functionalities and supporting the development of new business. You will be responsible for implementing the algorithms into the product and make it available to our customers, seeing your insight turned into real solutions.
You will work in an international context, in a team of engineers with different skillset, interfacing stakeholders and with full responsibility on deliverables. It is essential that you are a focused person with excellent communication skills and a personal drive to achieve project goals. You will have to deal with technicians, end users and software developers. You will be asked to maintain customer relationships by understanding complex business problems and modelling them in the simplest and most effective way.

Required skills
• Experience with one or more programming languages (Python, C/C++, R).
• Experience with one or more Optimization solvers (Gurobi, CPLEX, CBC).
• Practical experience developing decision support tools based on
optimization technology (LP, MIP, MINLP, NLP, etc).
• Experience in solving planning, scheduling, routing or nesting models.
• Experience in data management, analysis and visualization.
• Problem solving attitude.
• Ability to learn quickly.

The following are considered a plus
• Familiarity with ML techniques and technologies.
• Experience with libraries like OR-Tools and PuLP.
• Industrial or research experience in heuristic algorithm development.
• Knowledge of Critical Chain methodology.

Additional skills
• Enthusiasm.
• Dynamism.
• Result orientation.
• Strong autonomy.
• Excellent communication skills.
• Flexibility.
• Strong spirit of teamwork.

About us
Oròbix is the Bergamo-based tech-company focused on the implementation and lifecycle management of artificial intelligence solutions, covering a wide range of sectors from healthcare to agri-food (through the innovative startup Oròbix Life), from manufacturing to gaming and energy. During 2019,
Oròbix closed an investment round from Antares Vision Group, a world leader in systems for inspection, track and trace and smart data management. In more than 10 years of activity, we have grounded more than 100 projects, creating artificial intelligence solutions for our customers: from engineering to the production of models for in-line quality control, clinical diagnosis support, and production process optimization.

Our benefits
• Smart Working: we believe that the smart working can truly add value when balances flexibility and performance, the individual and the company.
• Multi-cultural, supportive, inclusive and friendly working environment.
• Awesome community of open-minded professionals, environment boosting the development of your technical and soft skills.
• Your influence on product stack, solutions and work-frame.
• Short and fast decision-making due to flat hierarchy.
• Great office space located in Bergamo, Travagliato (BS), Rovereto (TN)

3-steps hiring process
1. Interview with the Technical Leader
2. HR Interview
3. Interview with the Founders (Pietro & Luca)

Contact us!
recruiting@orobix.com

Oròbix Italy Go Industry
02 Feb 2023 RTD-A in Ricerca Operativa

Toggle description

Bandito 1 posto di Ricercatore a Tempo Determinato tipo A - ssd MAT/09, presso il Dipartimento di Ingegneria informatica automatica e gestionale A. Ruberti dell'Università di Roma La Sapienza.
La durata è di 3 anni prorogabile di altri 2.
Il programma di ricerca è su “Modelli e metodi deterministici e probabilistici per lo studio dei processi decisionali”.

Università di Roma La Sapienza Italy Go Academia
31 Jan 2023 Lecturer/Senior Lecturer in Operations Management

Toggle description

The Sheffield University Management School (SUMS) invites applications for the following open-ended position:

Lecturer/Senior Lecturer in Operations Management
Management School
Salary: £44,737 to £63,673 per annum. Potential to progress to £73,786 per annum through sustained exceptional contribution.
Closing Date: 31 January 2023
Interview Date: 14 March 2023 (in person)
Reference: UOS035757
Apply now at: https://tinyurl.com/3z9punpu

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

Sheffield University Management School England Go Academia
31 Jan 2023 Lecturer/Senior Lecturer in Business Analytics

Toggle description

The Sheffield University Management School (SUMS) invites applications for the following open-ended position:

Lecturer/Senior Lecturer in Business Analytics
Management School
Salary: £44,737 to £63,673 per annum. Potential to progress to £73,786 per annum through sustained exceptional contribution.
Closing Date: 31 January 2023
Interview Date: 15 March 2023 (in person)
Reference: UOS035761
Apply now at: https://tinyurl.com/49b87a6r

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

Sheffield University Management School England Go Academia
23 Jan 2023 RTD-A in Ricerca Operativa

Toggle description

Nell’ambito del Centro Nazionale per la Mobilità Sostenibile, e in particolare dello Spoke n. 7 dedicato alla Cooperative, Connected and Automated Mobility, è bandito presso l’Università degli Studi di Brescia un posto di ricercatore a tempo determinato (RTDA) di durata triennale nel settore MAT/09 (Ricerca operativa).
L’attività di ricerca sarà orientata all’ottimizzazione delle reti di trasporto, con particolare attenzione a forme innovative e flessibili di trasporto, e a scelte dinamiche di percorso per ridurre la congestione delle reti.
Informazioni sul bando sono disponibili alla pagina
https://www.unibs.it/it/ateneo/lavora-con-noi/bandi-e-gare/procedura-n-1-rtd-mat09-pnrr-dipartimento-di-economia-e-management
La scadenza per la presentazione di domanda è il 23 gennaio 2023.
La responsabile, da contattare per ulteriori informazioni, è la prof. M. Grazia Speranza (grazia.speranza@unibs.it).

University of Brescia Italy Go Academia
16 Jan 2023 Assegno di ricerca

Toggle description

Opportunità di ricerca (assegno annuale) presso l'Università degli Studi di Firenze su temi molto attuali: progettazione di servizi di assistenza domiciliare per la riabilitazione di pazienti affetti da disturbi neuromotori.
Tale attività di ricerca si inserisce in un progetto finanziato nell'ambito del PNRR, THE, Tuscany Health Ecosystem – spoke 9.
Per la multidisciplinarietà del progetto e la molteplicità dei soggetti coinvolti, l'attività può essere svolta prevalentemente a distanza.
L'assegno ha durata annuale, partirà in data 01/03/2023 e la scadenza del bando è fissata al 16/01/2023.
Per informazioni non esitate a contattare la Prof.ssa Paola Cappanera all'indirizzo email paola.cappanera@unifi.it

Università degli Studi di Firenze Italy Go Academia
16 Jan 2023 PhD in Statistics and Computer Science

Toggle description

Information about the PhD course: https://www.unibocconi.eu/wps/wcm/connect/bocconi/sitopubblico_en/navigation+tree/home/programs/phd/phd+in+statistics+and+computer+science/

Admissions:
https://www.unibocconi.eu/wps/wcm/connect/bocconi/sitopubblico_en/navigation+tree/home/programs/phd/admission+-+phd+programs

Università Bocconi Italy Go Academia
31 Dec 2022 Software engineer .NET | C# developer | Sviluppatore full stack

Toggle description

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.

Multiprotexion Srl Italy Go Industry
31 Dec 2022 Software engineer developer

Toggle description

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

Multiprotexion Srl Italy Go Industry
28 Dec 2022 Post-Doc (Assegno di ricerca) on Modeling and Numerical Simulation of Complex System

Toggle description

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)

Dipartimento di Informatica, Università di Pisa Italy Go Academia
24 Nov 2022 2-year Post-Doc position

Toggle description

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

University of Milano Bicocca Italy Go Academia
15 Nov 2022 1 year postdoctoral position in Operations Research for city logistics

Toggle description

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.

IMT Atlantique Nantes, France Go Academia
23 Oct 2022 Postdoctoral Research Associate

Toggle description

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.

Kent Business School, University of Kent United Kingdom Go Academia
30 Sep 2022 PhD Position in Industrial Engineering at the University of Louisville

Toggle description

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.

University of Louisville United States Go Academia
30 Sep 2022 2 years Postdoc position at Luiss University

Toggle description

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

Luiss University Italy Go Academia
16 Sep 2022 Assegno di ricerca su "Modelli e sistemi di ottimizzazione matematica per la pianificazione degli investimenti"

Toggle description

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".

Istituto per le Applicazioni del Calcolo "Mauro Picone" del CNR Italy Go Academia
04 Aug 2022 RTD-B in Ricerca Operativa

Toggle description

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

Dipartimento di Matematica “Tullio Levi-Civita”, Università di Padova Italia Go Academia
01 Aug 2022 RTD-A in Ricerca Operativa

Toggle description

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

Università di Pisa Italy Go Academia
30 Jun 2022 Ph.D. and PostDoc positions in Algorithms at IDSIA

Toggle description

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/

Algorithms and Complexity Group of IDSIA, USI-SUPSI Switzerland Go Academia
30 Jun 2022 PhD position in Combinatorial Optimization at KU Leuven

Toggle description

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

Research Centers OM and ORSTAT Louvain, Belgium Go Academia
17 Jun 2022 2x Joint PhD positions Joint Imperial College + TUM

Toggle description

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

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

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

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

Kind Regards,
Dario

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

Imperial College and TUM United Kingdom and Germany Go Academia
15 Jun 2022 Operations Research Analyst

Toggle description

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

About Paack 📦

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

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

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

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

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

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

Our team 🤲

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

About the job 👩‍💻👩‍💻

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

Key tasks and Accountabilities:

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

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

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

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

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

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

Sound like a fit? Come and join our success

Paack Spain Go Industry
03 Jun 2022 Two-year post-doc (assegno di ricerca) on AI/OR methods for public transportation

Toggle description

Please note that the post-doc position is at University of Pisa but for working with MAIOR S.r.l.
----
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

Dipartimento di Informatica, Università di Pisa Italy Go Academia