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Expires Title Institution Country Link Type
03 Aug 2024 Consulente

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Località: Milano, ovunque in Italia e a livello internazionale
Data di inizio: tutto l'anno (a seconda della disponibilità)

d-fine è una società di consulenza europea con oltre 1.000 dipendenti e undici uffici in sette paesi. Ci concentriamo su temi quantitativi e sullo sviluppo di soluzioni tecnologiche sostenibili. Il successo di d-fine è dovuto ai molti anni di esperienza sul campo e ad un team dal profilo analitico e tecnologico, una combinazione che ha dato prova di sé grazie a implementazioni personalizzate, efficienti e sostenibili al servizio di oltre duecento clienti appartenenti ai piú svariati settori dell’economia.

Stiamo cercando una persona per la posizione di consulente disponibile da subito a lavorare nella nostra nuova sede di Milano.

Mansioni previste
Elaborazione di modelli, metodi e processi nel settore pubblico e privato.
Applicazione dei metodi di data science.
Analisi di business e simulazioni.
Progettazione, implementazione e validazione di modelli matematici.
Utilizzo di tecnologie moderne come il machine learning o le soluzioni per i big data.
Programmazione agile di soluzioni complesse.
Analisi tecnica e implementazione di requisiti normativi.
Analisi, concezione e digitalizzazione dei processi.
Selezione, parametrizzazione e integrazione di software specializzati.

Requisiti
Laurea magistrale (Master/PhD) con votazione eccellente in Fisica, Matematica, Informatica o Scienze naturali, ingegneristiche o economiche con una specializzazione quantitativa, analitica o tecnologica.
Eccellente padronanza delle competenze matematico-tecnologiche.
Significative capacità informatiche e di programmazione.
Ottima conoscenza della lingua italiana e inglese.
Ottime capacità di lavorare in gruppo.
Capacità di comunicare efficacemente con colleghi di diversi livelli e affiliazioni.
Disponibilità a una crescita professionale continua e allo sviluppo di nuovi temi.

Offriamo
Un modello di carriera e di retribuzione attraente.
Problemi vari e complessi.
Responsabilità già ai livelli iniziali e processi decisionali brevi.
Possibilità di spaziare tra diversi ambiti tematici e settori dell’economia.
Una cultura aziendale internazionale e aperta.
Tempo libero e opportunità di formazione individuale nell'ambito della "d-fine Academy" o dei progetti di ricerca nel "d-fine e.lab".
Un'ampia gamma di benefit aggiuntivi, eventi aziendali e molto altro ancora.

Candidatura
We would be happy to receive your application, including your possible start date. Please submit your cover letter and CV in English. Your other application documents such as school and university certificates and any
other relevant documentation can be in Italian.

Please do not hesitate to contact us

Contact: Ms Marina Büttner
Phone: +49 69 90 737 426
E-Mail: careers@d-fine.com

d-fine Italy Go Industry
15 May 2024 Posizione in ambito OR/ML

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FOR ENGLISH VERSION, PLEASE SCROLL DOWN.

Sei un appassionato di OR/ML e vuoi farlo diventare la tua professione?

Vuoi lavorare allo sviluppo di modelli ed algoritmi per il supporto le decisioni in ambito security?
Desideri collaborare in un ambiente dinamico per costruire insieme soluzioni capaci di fare la differenza ed innovare il settore?
Multiprotexion potrebbe essere la tua occasione per mettere a frutto il tuo percorso accademico ed entrare nel mondo del lavoro!

Chi è MULTIPROTEXION
La nostra missione: “rendere il mondo un posto più sicuro”
Multiprotexion si propone come fornitore unico di servizi di sicurezza satellitare, telematica e videosorveglianza attiva orientati a prevenire furti e rapine a mezzi di trasporto pesante e magazzini. Oltre ad essere partner delle più importanti aziende di trasporto, distribuzione e logistica internazionali è partner di aziende di produzione di beni ad alto valore che operano nel mondo del fashion, tecnologia, tabacco e farmaceutico per i quali progetta procedure e sistemi di sicurezza personalizzati.
La ricerca è orientata a rinforzare il team di software engineering dell’azienda con l’inserimento di alcune figure professionali esperte sia di algoritmi sia di ottimizzazione che di machine learning.
La HQ dell’azienda è a Gropello Cairoli (PV), le filiali sono 3:
• Caserta
• Savona
• Westerlo (BE)
L’azienda investe oltre il 15% del suo fatturato ogni anno in R&D ed è la prima nel suo settore che si affaccia (ed investe) al mondo dell’ottimizzazione e degli algoritmi predittivi in quanto pensiamo che il futuro del nostro lavoro risieda nell’analisi delle enormi quantità di dati che abbiamo a disposizione e nella conseguente creazione di modelli matematici che possano prevedere l’avverarsi di situazioni rischiose per le quali il tempo di reazione è fondamentale.
Le tue sfide
Ti occuperai dell’analisi e dello sviluppo di modelli e algoritmi di ottimizzazione e Machine Learning volti al miglioramento delle tecnologie aziendali e per clienti sia nazionali che internazionali.
In particolare, potrai:
• Partecipare all’analisi e alla progettazione dei problemi di ottimizzazione e allo sviluppo di algoritmi dedicati ai problemi inerenti all’azienda
• Scrivere modelli e algoritmi secondo la strategia concordata
• Supportare lo sviluppo degli algoritmi con il team di software engineering di Multiprotexion con il ruolo di traduttore tecnologico.
• Partecipare a conferenze e seminari inerenti l’attività svolta in modo da rimanere sempre aggiornato su potenziali utilizzi in azienda.
Le tue caratteristiche
Il profilo che stiamo ricercando è il seguente:
• PhD in Ricerca Operativa e/o Machine Learning in Università Italiane o estere, ovvero laurea Magistrale in discipline affini alla matematica applicata, il data science e l’ottimizzazione;
• Ottime capacità analitiche;
• Capacità di comunicazione e predisposizione alla condivisione di idee e problemi con i colleghi e la direzione.
• Ottima conoscenza della lingua inglese (almeno CEFR B2);
• Capacità di utilizzo di applicativi informatici e solver/pacchetti professionali (anche solo in ambito accademico);
• Abilità nell’organizzazione del lavoro e nel time management;
• Intraprendenza e volontà di fare ricerca e innovazione;
• Interesse al continuo apprendimento e miglioramento.

Inizio attività: immediata
Sede di lavoro: HQ Gropello Cairoli e/o remoto

Inviate la vostra candidatura o semplicemente una mail per richiesta di informazioni ai seguenti indirizzi:

Matteo Cavaioni (titolare dell’azienda): cavaioni@multiprotexion.com
Francesco Giannini (CEO): giannini@multiprotexion.com

Il presente annuncio è 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.

ENGLISH VERSION

Who is MULTIPROTEXION
Our mission is: “make the world a safer place”
Multiprotexion is a comprehensive supplier of satellite security services, telematics and active CCTV surveillance aiming at preventing thefts and robberies for heavy transport vehicles and warehouses. We are a major security partner of the most important international transportation, distribution and logistics companies. Moreover, we serve as a security partner for companies producing high-value goods in the world of fashion, technology, tobacco and pharmaceuticals designing customized security systems and procedures.
We are searching for optimization and/or machine learning algorithm specialists to strengthen and support the company's software engineering team.

The company's HQ is in Gropello Cairoli (PV) but there are 3 other branches:
• Caserta (IT)
• Savona (IT)
• Westerlo (BE)

We invest more than 15% of our turnover every year in R&D and we are the first in our sector to enter (and invest) in the world of optimization and predictive algorithms as we think that the future of our work lies in the analysis of the huge amounts of data we have available and the consequent creation of mathematical models that can predict/react to the occurrence of risky situations for which reaction time is essential.

Challenges
You will take care of the analysis and development of Optimization and Machine Learning models and algorithms aimed at improving company technologies and for both national and international customers.
In particular, you will be able to:
• Participate in the analysis and design of tailored optimization problems and in the development of algorithms to solve them
• Write models and algorithms according to the agreed strategy
• Support the development of the algorithms with the Multiprotexion software engineering team with the role of technology translator
• Participate in scientific conferences and seminars to keep up to date on potential development useful for the company.


What we are searching for
The profile we are looking for is the following:
• PhD (or nearly ending) in Operations Research and/or Machine Learning in Italian or foreign universities, or Master's degree in disciplines related to applied mathematics, data science and optimization;
• Excellent analytical skills;
• Communication skills and willingness to share ideas and problems with colleagues and management.
• Excellent knowledge of the English language (at least CEFR B2);
• Ability to use IT applications and solvers/professional packages (at an academic level);
• Skills in work organization and time management;
• Initiative and willingness to do research and innovation;
• Interest in continuous learning and improvement.

Forecasted starting time: immediately
Working site: HQ Gropello Cairoli (Pavia) and/or remote

Send us your CV or ask for more details at:

Matteo Cavaioni (Owner): cavaioni@multiprotexion.com
Francesco Giannini (CEO): giannini@multiprotexion.com

This job advertisement is intended for any gender, age and nationality, following Italian law 903/77 e 125/91, 215/03 and 216/03.

Multiprotexion Srl Italy Go Industry
04 May 2024 Data Integration Expert

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Data Integration Expert
We are looking for a technical figure passionate and competent in data integration development.

Our Mission
Target Reply is the place to be for everyone who loves crunching lots of data and has an analytical mindset.
Our mission is to follow our customers’ data all along the entire Data Refinery path and turn it into diamonds.

Our Team
We are a team of highly qualified data lovers with different backgrounds and expertise.
We like to commit ourselves to challenging projects and improve our skills operating with cutting-edge technologies.

What awaits you in Target?
This is what you can expect by joining us:
- Continuous Growth – We will guide you during your formation on-the-job and through certifications to help you improve continuously
- Cutting-edge Technology – In Target you will have the chance to learn and use the best tools on the market
- Challenge yourself – You will engage with our top-notch clients and have the chance to make a difference

What about you?
These are the hard skills we are looking for:
- Experience in Data Integration/Business Intelligence in complex environments and excellent knowledge of ETL concepts
- Ability to translate business requirements into application requirements
- Good knowledge of one or more relational databases (e.g. SQL Server, MySql, etc.)
- Experience in addressing all phases of the Data Integration process, from functional analysis to technical design, up to software development and testing
- Knowledge of the main Data Governance concepts and Data Modelling methods is a plus
- Your background is preferably Computer Science, Data Science, Statistics and Mathematics
This is the mindset of the people we love to work with:
- Team-Worker – You love working with (and also learning from) some of the most talented people in the world of Data
- Orientation to results – You understand that speed is often as important as quality
- Effective communication – You are pragmatic and know how to communicate both functional and technical concepts

If it sounds good to you, then Target Reply is your place to be!
For further information:
Visit Target Reply Corporate Site
Or contact a.chiaviello@reply.it

_________________________

Data Integration Expert
Siamo alla ricerca di una figura tecnica appassionata e competente in ambito Data Integration.

La nostra Mission
Target Reply è il posto perfetto per chiunque ami lavorare con i dati e abbia un mindset analitico. La Mission che ci guida è quella di accompagnare i nostri clienti lungo tutta la filiera di integrazione, trasformazione e rappresentazione del dato, al fine di generare valore aggiunto per tutti i nostri stakeholder.

Il nostro Team
Il nostro Team è formato da persone altamente qualificate e provenienti da background differenti, ma tutte accomunate dalla passione per i dati a 360°. Crediamo nella crescita continua e sostenibile e siamo sempre pronti a metterci alla prova con progetti sfidanti e tecnologie innovative.

Che cosa ti aspetta in Target?
- Crescita continua – Grazie a numerosi programmi formativi in Target avrai modo di crescere sia professionalmente che personalmente
- Tecnologie all’avanguardia – La nostra curiosità verso i nuovi trend tecnologici ci offre la possibilità di sperimentare con le tecnologie più rivoluzionarie
- Progetti stimolanti – Avrai modo di confrontarti con clienti di alto livello sulle tematiche più importanti nel mondo dei dati

Il tuo contributo
Queste sono le hard skill che cerchiamo:
- Esperienza in ambito Data Integration/Business Intelligence in contesti lavorativi dinamici e conoscenza dei principali concetti di ETL
- Capacità di tradurre i requisiti di business in requisiti tecnici (e viceversa)
- Buona conoscenza di uno o più Relational Database (es. SQL Server, MySql, ecc.)
- Consapevolezza delle diverse fasi che compongono i processi di Data Integration, da un punto di vista sia funzionale sia tecnico
- Si considera un plus una buona conoscenza dei principali concetti di Data Governance e Data Modelling
- Background Computer Science, Data Science, Statistics and Mathematics
E queste sono le caratteristiche delle persone con cui ci piace lavorare:
- Propensione al team-working e alla condivisione
- Orientamento al risultato e capacità di valutare il giusto trade-off tra qualità e velocità
- Comunicazione efficace in ambito sia funzionale sia tecnico

Per ulteriori informazioni:
Visita il nostro sito Target Reply Corporate Site
O scrivici una mail al seguente indirizzo a.chiaviello@reply.it

Target Reply Italy Go Industry
01 Mar 2024 Data Scientist Junior (stage)

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S2E è un’azienda italiana di consulenza in ambito Business Technology, all’avanguardia nell’innovazione tecnologica nei settori Fintech, Insurtech e Cybertech. Con oltre 400 collaboratori, sede principale a Milano e uffici a Roma, Lecce, Tel Aviv, riprogetta, personalizza e sviluppa soluzioni digitali per il business delle imprese che operano in particolare nei settori finance, telecom, retail, energy and oil, industry.
S2E è un’azienda attenta alle pari opportunità. Celebriamo la diversità e ci impegniamo a creare un ambiente inclusivo per tutti i dipendenti.

In affiancamento al team leader della Business Line, SARAI TU a supportare il team nella costruzione di DWH e Data Mart relativi ai dati di farmacie clienti, nella gestione della qualità del dato, nell'analisi dei dati tramite query SQL e nello sviluppo di report e dashboard con Microsoft Power BI.

BACKGROUND AND SKILLS
Competenze indispensabili:
· Laurea in Informatica, Ingegneria, Matematica, Statistica o cultura affine
· Conoscenza base di SQL e di uno strumento di Business Intelligence.
· Propensione all'analisi e all'esplorazione del dato.
· Interesse per l'apprendimento di linguaggi avanzati come Apache Spark.
Competenze preferenziali:
· Gradita conoscenza base di Power BI e Report Builder.
· Gradita conoscenza base di tool dedicati alla gestione dell'ETL (ad es. Talend, IBM Data Stage, SAP Data Services).

COSA SIGNIFICA FAR PARTE DEL TEAM S2E
· Lasciare il segno! Farai parte di un team collaborativo e intraprendente
· Crescere professionalmente perché seguiamo un processo continuo di scouting tecnologico e di miglioramento individuale ed un continuo training on the job
· Work-life balance: Diamo valore agli obiettivi raggiunti e ci impegniamo per creare un ambiente di lavoro sereno
· Essere proattivi ed orientati al problem solving

COSA TROVERAI IN S2E
· Team di lavoro friendly, open-minded e collaborativi
· Progetti in crescita, innovativi e sfidanti su tutti gli ambiti applicativi
· Scouting di nuove tecnologie

IL TUO RAPPORTO DI LAVORO CON S2E
· Inserimento in Stage con finalità di assunzione
· Buoni pasto elettronici
· Formazione hard e soft skills on line
· Orario flessibile, in base alle esigenze di progetto e/o di servizio

SEDE DI LAVORO
· Milano, FULL-REMOTE

I candidati ambosessi (L.903/77) sono invitati a leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).

Se necessitate di ulteriori informazioni sono a vostra completa disposizione.

Grazie mille,
a presto

RICCARDO TROMBETTI
Talent Acquisition
PEOPLE
M. +39 324 980 7839
E. riccardo.trombetti@s2e-mail.com

Via Palmanova 67
20132 Milan, IT

S2E Italy Go Industry
25 Jan 2024 Operations Research specialist

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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
08 Jan 2024 Assistant/Associate Professor position at ESSEC Business School

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ESSEC Business School is offering a position of Assistant/Associate Professor in Operations Research for its Paris-Cergy campus, to start in September 2024.

Applicants should have a strong research focus and interests in Optimization and Operations Research, with a PhD or doctorate in related fields (OR, computer science, mathematics, economics). They should also demonstrate high leadership and autonomy in research and teaching, with publications in high-quality journals in Operations Research. Salary is competitive with the European Business Schools environment.

The Professor will join the Information Systems, Decision Sciences and Statistics (IDS) department, and will be part of the OMOR (Operations Management / Operations Research) research cluster of ESSEC Business School that currently gathers 10 permanent members and 8 PhD students (see website https://sites.google.com/essec.edu/omor/).

The school is looking for a candidate with a cross-disciplinary research focus, bridging the gap between optimization, data science and AI, with the core expertise in mathematical optimization. The applicant should have research interests in developing optimization theory and methodology (including prescriptive analytics, data-driven optimization with machine learning), as well as working on applications which are in line with the strategy of the school. Experience in computational optimization and proficiency in at least one programming language (Python, C/C++, Java, Julia) is required. Ideal profiles combine innovation spirit, technical depth, and a strong interest in linking theory and practice through applications.

The applicant should be able to teach in English in various ESSEC Business School Programs (at bachelor, master or PhD level). This includes courses in applied mathematics in the BBA program, and courses in Decision Analytics in various master/BBA programs (including joint programs with the engineering school École CentraleSupélec).

With its 3 campuses (Paris, Singapore and Rabat), ESSEC Business School is a top European Business School with international and very diverse faculty and student communities. The ESSEC Master in Management is ranked #5 worldwide by the Financial Times in 2023. The ESSEC Master in Finance is ranked #3 worldwide in the FT 2023 ranking. The ESSEC Master in Data Science & Business Analytics (a joint program with École CentraleSupélec Paris) is ranked #4 worldwide in the latest QS 2023 ranking.

Candidates should submit their applications (including a cover letter, a detailed curriculum vitae, a list of publications emphasizing the four most representative ones, a teaching statement, a research statement including the research plan for the next 3 to 6 years, and three recommendation letters) to:

https://docs.google.com/forms/d/1G-3KB2d_advCKZAsXQcZIT3swsZzQMOWhl5oQfvBkZw/



The closing date for applications is January 8, 2024.

For further information on academic matters and Operations Research at ESSEC, prospective candidates are invited to contact Prof. Laurent Alfandari (alfandari@essec.edu), Prof. Claudia Archetti (archetti@essec.edu), Prof. Diego Delle Donne (delledonne@essec.edu) and/or Prof. Ivana Ljubic (ljubic@essec.edu), IDS Professors of Operations Research and Decision Analytics.

ESSEC Business School Paris-Cergy, France Go Academia
31 Dec 2023 3-years position as "RTD-A" at the University of Milan, Dept. of Computer Science (OptLab)

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The three-years position (to be opened soon) will be partially funded by a two-years PRIN project concerning combinatorial optimization algorithms in smart manufacturing, namely for the optimization of automated warehouses (AS/RS). The project includes the universities of Salerno, Milano and Napoli. The research group in Milano includes G. Righini, M. Trubian, A. Ceselli, R. Cordone, N. Bianchessi and several Ph.D. students.

University of Milan Italy Go Academia
20 Dec 2023 PhD Positions in Optimization

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Ph.D. Student Position at George Washington University in
Optimization, Prescriptive Analytics, and Decision Making under Uncertainty
Position: We are seeking to recruit one or two Ph.D. candidates to work under the supervision of Dr. Miguel Lejeune starting in Fall 2024. The selected candidate(s) will join the Ph.D. program of the Decision Sciences Department of the George Washington School of Business.
Contingent on research interests, the selected student(s) will have the opportunity to collaborate with Dr. Lejeune’s research group involving faculty, postdoctoral students, and other Ph.D. students from the School of Engineering (Electrical and Computer Engineering) and the Business School (Decision Sciences).
The selected Ph.D. students(s) will work on projects related to optimization, decision-making under uncertainty, and prescriptive and predictive analytics, and with applications to energy, health care, and logistics. Ongoing and possible applied research projects would involve the use of drones to deliver emergency medical supplies (drug overdoses, cardiac arrests), the use of mobile power sources to restore and reinforce the resilience of power grids, or the design of preventive models to hedge against the risk of wildfires.
Support: The funding will cover full tuition fees, monthly salary, and health benefits for five years, assuming that the student(s) fulfill(s) the requirements of the Ph.D. program.

Eligibility and Conditions: The candidate(s) is/are expected to have a degree in Industrial Engineering, Operations Research, Business Analytics, Electrical Engineering, Mathematics, Computer Sciences, or closely related discipline, and should be interested in optimization, operations research, analytics, and/or applied mathematics.
Applicants with computer programming (coding) skills, strong interest in optimization, and/or research experience will be given higher priority.

Application: Prospective candidates can contact Dr. Lejeune (mlejeune@gwu.edu) for more information about the position. Applications should be submitted by January 10, 2024 at:
https://gw.my.site.com/gwapp/TX_SiteLogin?startURL=%2Fgwapp%2FTargetX_Base__Portal

George Washington University USA Go Academia
16 Dec 2023 Engineer in Mathematical Optimisation

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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
25 Nov 2023 Postdoc position, Numerical linear algebra and/or Optimization, Pisa

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The department of Computer Science of the University of Pisa has opened a call for a postdoctoral position on "Numerical algorithms for analysis and optimization on complex networks".

We are looking for candidates in the areas of either Numerical Linear Algebra (to work on algorithms and software for the solution of linear systems with M-matrix and positivity structures, and applications to complex network analysis), or Optimization (to work on algorithms and components for large-scale optimization in the open-source software framework SMS++, with attention to nested heterogeneous structures and applications such as energy and logistics systems).

The successful candidate will work in collaboration with either Federico Poloni (federico.poloni@unipi.it) or Antonio Frangioni (antonio.frangioni@unipi.it), in the context of a project funded by the National Centre for Research in HPC, Big Data, and Quantum Computing, as part of the Italian National Resilience and Recovery Plan (PNRR). They will be part of the Computational Mathematics Laboratory

https://commalab.di.unipi.it

of the department of Computer Science, and of the active community working on numerical mathematics in Pisa.

Candidates can apply also before obtaining a Ph.D. title, just with a master's degree. The initial duration of the contract is 12 months, but funds for extending it for a further year have already been allocated.

To apply, please visit

https://bandi.unipi.it/public/Bandi/Detail/85a50616-3f10-47bc-9a28-f2e4f6e072fb

The deadline is November 25, 2023.

For more details, please write to frangio@di.unipi.it

Dipartimento di Informatica, Università di Pisa Italy Go Academia
14 Aug 2023 PhD in AI-based Optimization for Waste Logistics

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Autonomous driving? Unmanned aerial flight? Digital manufacturing? The AI mobility node Ingolstadt at the AImotion Bavaria Institute is dedicated to these research topics. Change the future of AI-based mobility with us. https://www.thi.de/forschung/aimotion

YOUR TASKS
Conduct research on AI-based analysis, planning, and optimization algorithms for waste transportation logistics, with a specific focus on minimizing emissions and costs in the NEwAIste project.
Develop novel AI models and methodologies to analyze and optimize waste transportation processes.
Publish research findings in reputable scientific journals and present at international conferences (AAAI, ECAI,..) as well as collaborate with project members (Büchl GmbH, INAS Institute, TUM, University of Augsburg)
Pursue a doctorate within a team of motivated and talented researchers with fun at work and confirmed guidance from a German research university.

YOUR PROFILE
Master's degree in computer science, data science, operations research, industrial engineering, or a related field
Good command of programming in Python and applied mathematics
Basic knowledge (or curiosity) of AI, ML, and OR (linear programming, reinforcement learning, mathematical programming)
(Ideally) Experience in modeling and solving optimization problems (Gurobi, SCIP, CPLEX)
Good command of English and German, strong organizational and teamwork skills

CONTACT
ANR 1165
please feel free to contact
Milena Porsch
karriere@thi.de
+49 841 9348-5062

AI mobility node Ingolstadt, AImotion Bavaria Institute, Technische Hochschule Ingolstadt Germany Go Academia
02 Aug 2023 Junior Data Scientist – Optimization

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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
31 Jul 2023 1 year postdoctoral position in Operations Research and AI for railway transportation

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- Job context and description
This position is part of the FERROMOBILE project (https://ferromobile.fr/en/). It is a French project funded in the context of the AMI CORIFER 2021 (Appel à Manifestation d’Intérêt - Comité d’orientation de la recherche et de l’innovation de la filière ferroviaire). It proposes a novel public transport concept in which vehicles capable of travel onboth rail and road supply an on-demand service to passengers.

- Tasks
The post-doctoral researcher will focus on the formalization and development of optimization modules for the design of on-demand public transport passenger service. These modules will be integrated in a closed-loop simulation environment for testing and assessing the system. The research will focus on both theoretical and methodological aspects, to allow the emergence of new solution approaches. The rail traffic management algorithms developed within the years at the COSYS-ESTAS laboratory of Université Gustave Eiffel will be used as a basis and possibly a benchmark for the new modules. Effort will also be devoted to the adaptation and testing of these algorithms.

- Candidate profile
Applicants must have a PhD in operations research, computer science, software engineering, applied mathematics or equivalent. They must be willing to integrate to the research activities of the team of the COSYS-ESTAS laboratory by providing original ideas, participating to international conferences and producing high quality scientific papers. Good knowledge of C++ and fluency in spoken and written English are essential requirements.

- Logistics details
Location: Lille-Villeneuve d'Ascq (France)
Type of Contract: Temporary, 12 months (renewable)
Job start date: As soon as possible
Salary: between 33 500 and 36 300 euro year gross salary

-Contacts
Paola Pellegrini – +33 (0)3 20 43 84 04 – paola.pellegrini@univ-eiffel.fr
Grégory Marlière – +33 (0)3 20 43 84 96 – gregory.marliere@univ-eiffel.fr

Application procedure, via email:
- detailed CV (education, work experience, internships, research projects carried out, publications)
- copy of the most relevant publications
- motivation letter explaining how the candidate's CV fits the position requirements and indicating the possible links of the publications chosen with the job description
- one or more recommendation letters

Université Gustave Eiffel Villeneuve d'Ascq, France Go Academia
19 Jun 2023 4 years PhD program in Economics, Analytics and Decision Sciences at the MT School for Advanced Studies

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We accept applications for the 2023/24 PhD program in Economics, Analytics and Decision Sciences (EADS). EADS is an international PhD program hosted by the IMTSchool, one of the six Schools of Excellence in Italy, and one of the highest rated graduate schools in Europe, according to the most recent U-Multirank survey.



The IMT School provides rigorous training and close supervision in a variety of disciplines in the social, human and natural sciences, welcoming multidisciplinary and interdisciplinary approaches at their boundaries.



The IMT School is a truly international environment with students from all around the world. The School has a record of placing students in top research universities, policy-making institutions, and companies. English is the official language of the School.



EADS trains students to undertake cutting-edge research in a wide range of economic and social disciplines with a unique multidisciplinary approach that relies on the unifying language of statistics, optimization, and data science, as well as on selected tools from computer science and psychology.



EADS students also have the opportunity of completing their research projects under joint supervision (double-degree) with partner universities, including KU Leuven and the University of Alicante. All students are encouraged to spend part of their studies abroad, both within the Erasmus+ framework and through ad hoc mobility agreements.



All students enrolled in the PhD program receive a scholarship of 1,353.58 € per month, which includes pension contributions and results in a net salary of 1,195.48 € for up to 4 years, with a possibility of graduating after the third year. For the first three years, all students are offered on-campus housing and meals at the IMT canteen for free, which can be valued as an additional benefit of at least €800/month. Furthermore, they are given additional financial support for mobility abroad, participation in international academic conferences, summer and winter schools, and other similar events.



To find out more about the EADS programme, the admission requirements, and how to apply, please visit the following hyperlink: https://eads.imtlucca.it/



Deadline for applications – June 19th, 2023, 11.59 pm CEST

Interviews will take place in July 2023 and admissions will be communicated by end of July/early August.



The EADS program will start in November 2023.



Find the IMT School on Facebook, Twitter, LinkedIn, and YouTube for the latest news.

IMT School Lucca, Italy Go Academia
22 May 2023 Positions in Data Science, Computer Science, and Environmental Science

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IE University is an internationally recognized institution originally founded as a business school. We consider ourselves the most international institution of higher education with approximately 85% of our students coming from outside Spain and typically over 120 countries represented on campus. Our Madrid postgraduate campus is situated in the financial district of this vibrant, cosmopolitan capital city of over 5 million people. In 2021 we opened the IE Tower –standing as one of the 5 towers in the business district of Madrid with a 6000-student capacity.
The School of Science and Technology boasts a diverse and international faculty of engineers, computer scientists, applied mathematicians, and experts in AI, cybersecurity, NLP and information technologies. The Impact Xcelerator project offers new faculty the opportunity to participate in applied research labs in collaboration with research groups and companies in fields like healthcare, environmental science, finance and cybersecurity, profiting from the rich network of IE Business School.
3 positions in Data Science: https://apply.interfolio.com/119864
3 positions in Computer Science: https://apply.interfolio.com/107871
3 positions in Environmental Science: https://apply.interfolio.com/122023

IE University Spain Go Academia
15 Apr 2023 Post-Doc Position @UniPD

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Title: Development of mathematical models and methods for the analysis of
biological data

Description:

The research focuses on some fundamental issues concerning the development of
mathematical models and methods for the analysis of biological data. A
detailed description is given below:

1) Development and analysis of learning models for the analysis of biological
data: In this context, the goal will be to develop and/or use advanced
learning models and to analyze their main properties from both a theoretical
and practical point of view.

2) Development and analysis of optimization methods for machine learning
problems: In this context, we will develop first/zeroth order methods for
solving large-scale machine learning problems. We will focus on the study of
theoretical and practical properties of the proposed methods.

3) Use of the developed tools for solving real problems in biology: The models
and methods will be used for the analysis of specific problems in biology
(e.g., progression analysis of neurodegenerative diseases).


Duration: 18 months
Gross salary: euros 40.086 (net salary around 1600 euros per month)

Department of Mathematics, University of Padova Italy Go Academia
06 Apr 2023 PhD Fellow in Computer Science – Energy Informatics, Smart Energy and Power Systems Modelling

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UiT The Arctic University of Norway has a PhD position in Computer Science, with a focus on Energy Informatics – Smart Energy and Power Systems Modelling, vacant for a candidate committed to taking a doctoral degree (PhD). The position is organized under the Department of Computer Science.

The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on the commencement of the position.

The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer.

UiT The Arctic University of Norway, Tromsø Norway Go Academia
29 Mar 2023 S2E Cloud Engineer Academy

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S2E CLOUD ENGINEER ACADEMY

Conosci S2E | Solutions to Enterprises?
Siamo una società di consulenza tecnologica, contiamo su un team di oltre 400 collaboratori dislocati nelle sedi di Milano, Roma, Lecce e Tel Aviv.
Quest’anno ci siamo classificati come azienda “Leader della Crescita “dal Sole 24 Ore https://bit.ly/3W9lFqn e siamo diventati AWS Advanced Partner

Personalizziamo e sviluppiamo soluzioni digitali per il business delle imprese che operano in particolare nei settori Finance, Telecom, Retail, Energy and oil, Industry.
Promuoviamo la crescita continua e reciproca per creare un ambiente di lavoro piacevole ed onesto dove il talento e le competenze siano valorizzati.
Per questo a breve partirà la S2E CLOUD ENGINEER ACADEMY.

Il nuovo percorso formativo che si svolgerà in modalità remota, per l’inserimento di una delle figure professionali più richieste:
CLOUD ENGINEER
Se hai conseguito uno dei seguenti titoli di studio:
Lauree ad indirizzo STEM (science, technology, engineering and math).
Diploma di Perito Informatico, Elettronico o delle Telecomunicazioni
Diploma di Liceo Scientifico (indirizzo informatico)
Diploma + ITS
potresti essere tu la persona che stiamo cercando per intraprendere una crescita professionale in ambito Cloud su AWS (Amazon Web Services).

Come è organizzata la S2E CLOUD ENGINEER ACADEMY?
Saremo virtualmente insieme dal 3 Aprile fino al 19 Maggio dal lunedì al venerdì dalle 9.00 alle 18.00 per partecipare alle lezioni teoriche e pratiche e a incontri con il team People.
Ti metterai alla prova e svilupperai nuove competenze nel campo della realizzazione di progetti cloud, dello sviluppo e manutenzione di reti di cloud computing e servizi cloud storage.
Acquisirai competenze sulle metodologie di lavoro, maturando una sempre maggior capacità di lavorare su progetti aziendali complessi
Al termine dell’Academy i migliori talenti entreranno nella squadra S2E

Quali requisiti devi avere per essere selezionato?
Conoscenza dei sistemi operativi (Windows e Linux) e dei protocolli di rete
Conoscenza di base di Shell Scripting
Atteggiamento proattivo
Spiccate capacità analitiche, organizzative e comunicative
Buona conoscenza della lingua inglese sia parlata che scritta (necessario B2)


La nostra Proposta
Frequentando l’Academy consoliderai le tue competenze sulle tecnologie più richieste in ambito cloud computing.
Acquisirai le competenze necessarie per ottimizzare le performance delle soluzioni cloud selezionate
Terminata l’Academy, S2E ti darà la possibilità di conseguire l’esame per le certificazioni AWS più richieste: Cloud Pratictioner, SysOps Administrator, Certified Solution Architect Associate

Far parte del team di S2E significa:
Crescere professionalmente perché seguiamo un processo continuo di scouting tecnologico e di miglioramento individuale
Mettersi alla prova con sfide di crescente complessità, cercando di fare la differenza con il proprio contributo ma lavorando in team per obiettivi comuni.
Lavorare sodo, pensare ed agire rapidamente, senza annoiarsi e con un continuo training on the job!
Avere una formazione continua sul Cloud e le nuove tecnologie
Credere, come noi di S2E, che ogni giorno ci sia una nuova sfida da affrontare e una nuova opportunità per imparare qualcosa di nuovo!

Sede Academy:
Full Remote
Sede Attività:
Remoto - Indispensabile la disponibilità a trasferte a Milano una volta al mese.
Le candidature dovranno essere inviate entro e non oltre il giorno 29/3/2023

S2E cresce con le sue persone.  
Cresci con S2E. 

#Smart2Experience

I candidati ambosessi (L.903/77) sono invitati a leggere l'informativa sulla privacy ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).


FELISIANA CARLOMAGNO
TALENT ACQUISITION
PEOPLE
M. +39 3287710470
E. felisiana.carlomagno@s2e-mail.com

Via Palmanova 67
20132 Milan, IT



website http://www.solutions2enterprises.com/
twitter @S2EMilano
linkedin solutions2enterprises

S2E Italy Go Industry
07 Feb 2023 RTD-A su tematiche di Ricerca Operativa e Telecomunicazioni

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(English follows)

Deadline: martedì 07/02/2023 alle 13:00

Titolo: PE 14 – Partenariato Esteso RESTART - RESearch and innovation on future Telecommunications systems and networks, to make Italy more smART
Sottotitolo: Network Intelligence – NETWIN nel progetto RESTART
Docente di riferimento: Prof Andrea Detti

Attività di ricerca prevista)
L’impegno scientifico consiste nello svolgimento di attività di ricerca relativamente a “Network Intelligence – NETWIN nel progetto RESTART”. L’obiettivo del progetto è di sfruttare la sinergia tra l’intelligenza artificiale e le reti in due direzioni: i) progettare strategie di “machine learning” che guideranno la progettazione di reti autonome capaci di gestire in modo efficiente la complessità delle telecomunicazioni del futuro minimizzando l’intervento umano; ii) progettare architetture di rete capaci di abilitare il dispiegamento pervasivo di servizi intelligenti con vincoli di ritardo e di consumo di energia.

Per maggiori dettagli)
Il bando nel link fa riferimento a più posizioni; vedere alla voce
- Rif 2056 – Dipartimento di Ingegneria Elettronica - due posizioni – settore concorsuale 09/F2 e settore scientifico disciplinare ING-INF/03 – scheda n. 18.
Contatto di riferimento: Luca Chiaraviglio (luca.chiaraviglio@uniroma2.it)

----

Deadline: Tuesday February 02, 2023, 13:00

Title: PE 14 – Partenariato Esteso RESTART - RESearch and innovation on future Telecommunications systems and networks, to make Italy more smART
Sub-title: Network Intelligence (NETWIN) in the RESTART project
Reference person: Prof Andrea Detti

Research activity)
The scientific commitment consists in carrying out research activities relating to “Network Intelligence – NETWIN nel progetto RESTART”. The goal of this project is to leverage the synergism between artificial intelligence and networks in two directions: i) design machine learning strategies that will guide the design of autonomous networks able to efficiently handle the complexity of the telecommunications of the future with minimum human intervention; ii) design network architectures able to promote the pervasive deployment of delay-sensitive and energy-constrained intelligent services.

For more details)
The announcement in the link refers to multiple positions; see under entry
- Rif 2056 – Dipartimento di Ingegneria Elettronica - due posizioni – settore concorsuale 09/F2 e settore scientifico disciplinare ING-INF/03 – scheda n. 18.
Contact person: Luca Chiaraviglio (luca.chiaraviglio@uniroma2.it)

Università di Tor Vergata, Roma Italy Go Academia
02 Feb 2023 RTD-A in Ricerca Operativa

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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

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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

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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

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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

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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

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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