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Displaying opportunities 76 - 100 of 326 in total
Expires Title Institution Country Link Type
25 Mar 2019 Permanent positions at Computer Science Dept. Ecole Polytechnique

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Ecole Polytechnique welcomes applications for several full-time and part-time computer science assistant professors, starting in September 2019:

- 1 position of full-time Assistant Professor ("Maître de Conférences") "Monge" (tenure-track) in Data Science and Artificial Intelligence

- 1 position of assistant professor full-time ("Maître de Conférences") in Internet of Things

- 3 full-time Assistant Professor ("Maître de Conférences") positions in computer science, capable of teaching at least one or more of the following: algorithmic, programming at all levels, but also computer architecture, operating systems, compilation and logic and complexity.

- 1 full-time Assistant Professor ("Maître de Conférences") "Monge" position (tenure-track) in computer science, capable of teaching at least one or more of the following: algorithmic, programming at all levels, but also computer architecture, operating systems, compilation and logic and complexity.

- 1 position of part-time assistant professor in computer graphics

- 2 positions of part-time assistant professor in data sciences and artificial intelligence

- 2 positions of part-time assistant positions in computer science

Auditions: from May 13 to May 24, 2019

Candidates on full-time positions must show how they would integrate into one of the existing teams of the laboratory (see https://www.lix.polytechnique.fr).
Part-time positions are cumulated with a main academic or industry job.

The links on the application server are accessible from the link in this page or from www.polytechnique.edu, as well as some details on computer science education at Ecole Polytechnique and the statutes and salaries.

You can already contact positions2019@lix.polytechnique.fr if you are interested in knowing more about the computer science department, and Ecole Polytechnique.

Dept of Computer Science, Ecole Polytechnique France Go Academia
15 Mar 2019 Posizione a tempo indeterminato come Data Scientist in Machine Learning e Information Retrieval

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Cerchiamo figure di Data Scientist per il Consorzio per il Trasferimento Tecnologico C2T, società da cui nasce la startup Find Your Doctor e il cui obiettivo è favorire l’innovazione nelle imprese, realizzando progetti di Ricerca & Sviluppo in diversi ambiti.

Contesto lavorativo
C2T, Consorzio per il Trasferimento Tecnologico equiparato a un centro di ricerca, nasce con lo scopo di promuovere presso le imprese progetti di innovazione e R&D, supportando al contempo i ricercatori che vogliono spendere la loro competenza (anche) al di fuori del mondo accademico. A tale scopo, C2T ha dato vita a Find Your Doctor, con lo scopo di facilitare il matching tra fabbisogno dell’impresa e competenze dei ricercatori.
A rispecchiare gli scopi del Consorzio, Il team si compone di figure professionali tra loro complementari, provenienti sia dalla ricerca (dottori di ricerca e dottorandi), sia dall’impresa, così da coniugare esperienze di tipo sia scientifico che imprenditoriale.

Mansioni
Le figure saranno inserite all’interno dell'ICT Lab di C2T, composto da ingegneri, informatici, dottorandi e dottori di ricerca, che uniscono le proprie competenze ed esperienze derivanti da mondi differenti allo scopo di realizzare progetti di ricerca con tecnologie di frontiera. Le figure selezionate lavoreranno sui progetti che C2T realizzerà nel 2019 in ambito Information Retrieval, Machine Learning e Data Mining.
Nonostante questi progetti abbiano già gli scopi generali definiti, i ricercatori scelti saranno coinvolti fin dalle primissime fasi del progetto, contribuendo per esempio allo studio di fattibilità, alla scelta delle tecnologie innovative da utilizzare e alla stima delle ore e delle competenze e risorse necessarie. I candidati prescelti parteciperanno e contribuiranno poi a tutte le successive fasi dei progetti, da quelle legate all’estrazione di informazione, alla creazione di modelli di Data Crawling, fino alla creazione di strumenti di Machine Learning, come ad esempio modelli predittivi. I progetti si concluderanno con lo sviluppo e il rilascio di tool per l’estrapolazione, elaborazione e raccolta automatizzata di informazioni, come ad esempio la creazione di un sistema di Information Management del patrimonio informativo di realtà industriali.
In queste attività, i ricercatori avranno modo anche di svolgere attività di project management, interfacciandosi da un lato con i clienti nel ruolo di Referente Scientifico e dell’altra entrando nel dettaglio della gestione dei tempi e delle risorse necessarie al progetto. Nel tempo, i ricercatori svolgeranno il ruolo di Referente Scientifico anche per gli ulteriori progetti di Ricerca & Sviluppo in ambito Data Mining, Information Retrieval e Machine Learning proposti e implementati da C2T e da FYD, sia per clienti che per attività di ricerca interne, partecipando anche in questo caso fin dalle primissime fasi di ideazione. Nel tempo, le figure inserite avranno quindi modo di crescere professionalmente e accrescere le proprie esperienze e responsabilità, compatibilmente con le proprie competenze, inclinazioni e aspirazioni.

Competenze tecniche richieste
Si considera imprescindibile avere precedenti esperienze in ambito Information Retrieval, Machine Learning e Data Mining.
In particolare, è importante avere pregresse conoscenze e competenze in:

Hadoop/Map Reduce e/o Spark;
Java e/o Phyton e/o Scala;
Deep Learning (CNN, RNN, LSTM, GRU);
Clustering.
Può costituire un valore aggiunto alla candidatura, ma assolutamente non preferenziale, aver avuto modo di applicare le proprie competenze a progetti di ricerca in ambiti diversi tra loro (per esempio industriale, finanziario, biomedicale, automazione, ecc.). È gradita la conoscenza di R.
Si richiede infine ai candidati la conoscenza professionale della lingua italiana, scritta e parlata.

Competenze trasversali richieste
È considerato assolutamente imprescindibile avere un atteggiamento responsabile e proattivo, che porti a essere propositivi e affidabili, ad esempio nell'organizzazione del proprio tempo e del proprio lavoro, nella gestione e risoluzione di problemi e nella creazione di opportunità.
È inoltre requisito fondamentale avere la capacità di lavorare in squadra, con rispetto e altruismo, in modo cooperativo invece che competitivo.
È infine fondamentale avere l'atteggiamento dell'esploratore desideroso di portare innovazione là dove serve, lavorando con tecnologie all’avanguardia e seguendo e rispettando allo stesso tempo le esigenze e le logiche aziendali.

Forma di collaborazione
L'azienda ha l'obiettivo di un'assunzione a tempo indeterminato.
Nel caso in cui il candidato sia impegnato in attività accademiche, si valutano anche possibilità di collaborazioni.

Impegno
Alle figure che saranno inserite in staff si richiede disponibilità a lavorare full-time.
L’impegno richiesto alle persone con cui si stabiliranno collaborazioni sarà invece discusso sulla base delle esigenze sia del candidato che dell’azienda.

Retribuzione
La retribuzione sarà discussa con i candidati.

Per candidarsi
Inviare una e-mail con lettera di interesse e CV all’indirizzo hr@consorzioc2t.it con oggetto JM21IN - Data Scientist in Machine Learning e Information Retrieval, indicando la propria disponibilità temporale ad avviare la collaborazione.
Sarà data precedenza alle candidature da parte degli iscritti a Find Your Doctor (consigliamo quindi di registrarsi o effettuare il login se già iscritti e caricare/aggiornare il file prima di candidarsi). Invitiamo inoltre i candidati iscritti a completare il profilo, con particolare attenzione alla sezione Pillole, e a caricare le pubblicazioni.

NOTA BENE: saranno prese in considerazione solo le candidature accompagnate da lettera motivazionale in cui siano messi in luce da un lato studi, esperienze e competenze attinenti all’Information Retrieval e al Machine Learning, dall’altro le proprie aspirazioni e la motivazione della candidatura.

Consorzio per il Trasferimento Tecnologico C2T Milano, Italia Go Industry
15 Mar 2019 Assistant Professor of Data Analytics

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We seek a new colleague who can contribute to building and extending the department’s reputation for excellence in research and teaching. Our research aims at having impact, evidenced by publications in top international academic journals. Teaching focuses on logistics and operations management courses and student supervision. Applicants receive a well-structured tenure track.

Vrije Universiteit Amsterdam Netherlands Go Academia
08 Mar 2019 Post-doc position in Formal Methods for computer-aided education

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There is a PostDoc position opening (30 months) within the project INFOCOS.
Candidates with interest in SW analysis, formal methods, or
machine-learning are particularly welcome.

The PostDoc will work on the development of a new generation of tools for
computer-aided education. The objective is to develop methods to improve
automated feedback that would help the student to make progress even
without the help of a lecturer. The development will be based in Formal
Methods (FM) and should contribute to state-of-the-art in FM as well as
other fields.

The workplace will be INESC-ID — a research institute associated with
Instituto Superior Técnico, U. de Lisboa, Portugal.

For more information, email directly to mikolas.janota@gmail.com

University of Lisbon Portugal Go Academia
07 Mar 2019 Post-Doc in Graph Theory and Algorithms at Durham University

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Post-Doctoral Research Associate

Applications are invited for a 1-year Post-Doctoral Research Associate on the grant “Efficient Graph Colouring Algorithms via Input Restrictions” funded by the Leverhulme Trust. Expertise in structural and algorithmic graph theory is required. The PDRA will work under the guidance of Professor Daniel Paulusma and Dr Matthew Johnson, and will be part of the Algorithms and Complexity research group (ACiD) in the Department of Computer Science at Durham University.

For informal enquiries please contact:

Daniel Paulusma (daniel.paulusma@durham.ac.uk) or Matthew Johnson (matthew.johnson2@durham.ac.uk)

Durham University UK Go Academia
20 Feb 2019 Two PhD Positions in Probabilistic Combinatorics at TU Graz, Austria

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We are seeking outstanding PhD candidates with interest and experience
in probabilistic combinatorics, in particular in random graphs. The
successful PhD candidates will pursue their PhD degrees within

Project 15 'Random graphs on a surface'

of the Doctoral Program 'Discrete Mathematics', under the supervision of
Univ.-Prof. Mihyun Kang as a member of the Combinatorics Group
(https://www.math.tugraz.at/comb/) at the Graz University of Technology.

For the description of possible PhD topics see
https://www.math.tugraz.at/discrete/index.php?link=projects&link2=15


Qualifications and condition of employment:

- Strong track record of mathematical studies
- Master's degree in mathematics or theoretical computer science is
required to be employed, but does not necessarily have to be awarded at
the time of application

Length and salary:

- PhD position is for up to 4 years
- There is additional funding for extended research stays abroad
and attendance of conferences

Application documents:

- curriculum vitae (academic CV)
- a short description of your qualifications and experience (i.e.
list or transcript of courses, Diploma or Master thesis)
- a cover letter describing your scientific interests and your
preferred research topics (possibly in connection with probabilistic
combinatorics, in particular with random graphs) as well as your
earliest possible starting date

Please merge your application documents into a single pdf-file. The
application consisting of a single pdf-file should be submitted by
e-mail to discrete@tugraz.at

Please mention in the application e-mail and in the cover letter that
you are applying for Project 15 'Random graphs on a surface' of the
Doctoral Program 'Discrete Mathematics'.

One to three confidential reference letters (one by their master thesis
advisor) should directly be sent to discrete@tugraz.at.


Application deadline: 20 February 2019

Interview:
selected candidates will be invited to interview, starting in early
spring 2019.

TU Graz Austria Go Academia
17 Feb 2019 Data Scientist (Operational Research)

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Microlise is one of Europe’s largest telematics and transport management solutions providers with the HQ in Nottingham, Our mission is to empower our customers such as Tesco, Sainsbury’s, DHL, ASDA, Waitrose, Co-op, Eddie Stobart, Royal Mail, MAN, DAF, TATA to reduce their costs and environmental impact by maximising the efficiency of their transportation operations. We achieve this with our great employees who continue to develop and deploy innovative, industry-leading technology solutions and services that enable our customers to optimise fleet utilisation and driver performance, to reduce costs and to improve service delivery.

Microlise Nottingham, UK Go Industry
10 Feb 2019 Facebook Research Summer Internship

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The Core Data Science team at Facebook Research is accepting applications for a summer intern position from PhD students and postdocs.
The intern will be part of the Economics and Computation group based in London.
The candidates should have research experience in one or more of the following fields: Algorithmic Game Theory, Mechanism Design, Machine Learning, Combinatorial Optimization.

Applicants should send a CV to elliesykes@fb.com by February 10th. For informal questions, you can contact rickuz@fb.com.

Facebook Go Industry
15 Jan 2019 PhD position in Models and methods for the design of Circular Supply Chains

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We are looking to recruit two Early Stage Researcher (ESR) positions to be funded by the Marie-Sklodowska-Curie Innovative Training Network “ReTraCE” – Realising the Transition towards the Circular Economy” (www.retrace-itn.eu) within the Horizon 2020 Programme of the European Commission.

The two positions will be hosted by the Management School of the University of Sheffield (UK) which is also the coordinating institution of the ReTraCE network. The ESRs will also be enrolled in the local PhD programme. Both the positions will deal with the application of decision-making methods for the design and the evaluation of the performance of Circular Supply Chains.

In your application you should provide a detailed CV, a Cover Letter (detailing your suitability to the position you want to apply for) and a Research Proposal (not longer than 3000 words) articulating your understanding of the project related to the position you are applying for. You should have a first degree and a relevant post-graduate taught qualification (MSc/MA or equivalent qualifications/experience). Recommended fields include: Industrial Engineering, Operational Research, Management Science, Supply Chain Management, Operations Management, Computer Science.

The successful candidates will receive an attractive salary in accordance with the Marie Sklodowska-Curie Actions (MSCA) regulations for early stage researchers. Pre-determined annual gross rates include a living allowance (£33,561 per annum), as well as a mobility allowance (£4,952 per annum) and a family allowance (£4,126 per annum, if applicable).

University of Sheffield England Go Academia
06 Dec 2018 Concorso da ricercatore a tempo indeterminato al CNR

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Concorso pubblico, per titoli ed esami, per l'assunzione con contratto di lavoro a tempo pieno e indeterminato di n. 3 unità di personale con il profilo di Ricercatore - III livello professionale presso strutture del Consiglio Nazionale delle Ricerche afferenti all'Area Strategica Matematica applicata (incluso settore MAT09).


Maggiori informazioni al link selezionando "Concorsi" quindi il link "Bandi Pubblici - in corso" e facendo riferimento al codice bando sotto riportato.

Codice Bando 368.47.RIC Prot. AMMCEN n. 0069088

CNR Italia Go Other
28 Nov 2018 Assegni di ricerca di ( 2 + 1) anni a PIsa

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Il Dipartimento di Informatica dell'Università di Pisa, nel contesto del progetto H2020 "plan4res" ( https://www.plan4res.eu/ ) è lieto di annunciare l'apertura delle procedure di selezione per due assegni di ricerca biennali.

Gli assegni sono completamente dedicati allo sviluppo delle metodologie e dei codici richiesti dal progetto, come brevemente descritto nel seguito. Il salario sarà di 32768 Euro lordo dipendente all'anno (40260 Euro lordo amministrazione), che corrispondono a circa 2000 Euro netti al mese. Poiché sarà richiesto uno sforzo implementativo particolarmente intenso, che potrebbe risultare in una produzione di articoli scientifici meno prolifica di quanto altrimenti sarebbe possibile, viene garantito un ulteriore anno di assegno di ricerca al termine del progetto, durante il quale gli assegnasti saranno completamente liberi di perseguire qualsiasi linea di ricerca desiderino. Questo sotto le sole condizioni che i) gli obiettivi del progetto plan4res siano raggiunti (poiché altrimenti non ci saranno i soldi), e ii) chi riceve l'estensione abbia debitamente contribuito al raggiungimento di tali obiettivi (per ovvie ragioni di correttezza). La prosecuzione di una fattiva collaborazione anche durante il terzo anno potrebbe risultare in ulteriori prolungamenti della posizione, fondi e reciproco interesse permettendo.

Il lavoro richiede una buona conoscenza dei principali metodi di ottimizzazione (in particolare la decomposizione di Lagrange e Benders, e l'uso di solutori general-purpose per problemi lineari, nonlineari e misti-interi), una buona conoscenza dei principali linguaggi di programmazione (in particolare C++) e strumenti di sviluppo (debugger, profiler, gestione di repositories). Esperienza in tecniche di programmazione parallela sarà anche positivamente valutata. La ricerca si concentrerà sullo sviluppo di un innovativo framework C++ per la modellazione e soluzione di problemi di ottimizzazione di grandissima scala caratterizzati da strutture multiple, annidate e non-uniformi, ed il suo uso per la soluzione dei problemi relativi al sistema energetico europeo previsti dal progetto, principalmente attraverso metodi di decomposizione multilivello eterogenei (sia in sequenziale che in parallelo).

La procedura per le domande è disponibile al link.

Università di Pisa Italy Go Academia
22 Nov 2018 Lectureships in Operational Research at the University of Edinburgh

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The School of Mathematics at the University of Edinburgh is seeking two new colleagues for permanent lectureships in Operational Research.

Applicants must have a Ph.D. in Mathematics, Operational Research, or a related discipline, and have an excellent track record of high-quality research in an area of Operational Research or strong evidence of high research potential. They should have well formulated research plans enabling them to contribute
strongly to the world-leading research being carried out in the School. Applicants with research interests in modelling and modern applications of perational Research e.g. in healthcare, transportation, energy sector, risk, public and service sector, finance, analytics or data science, are particularly welcome.

For further details about the existing research in the School please see:
http://www.maths.ed.ac.uk/research and http://www.maths.ed.ac.uk/ERGO

Salary Scale: GBP 40,792 to GBP 48,677 per annum.

Informal enquiries can be made by contacting Professor Jacek Gondzio directly clicking on the link.

University of Edinburgh Scotland Go Academia
22 Nov 2018 Permanent lectureships in Operational Research

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We are seeking two new colleagues for permanent lectureships in Operational Research.
The School of Mathematics runs a very successful suite of MSc programmes in Operational Research and the applicant will be expected to make imaginative and significant contributions to these, including through the supervision of MSc projects.

University of Edinburgh Scotland Go Academia
15 Nov 2018 PhD position in Big Data for Public Transport

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At the earliest possible date, the following PhD position (50% part-time) is to be filled at the Institute for Transport and Infrastructure.

Responsibilities:
Participation in the BMBF research project "Reliability in Smart and Big Data for Public Transport". Analysis of sensor data for entry, exit, and transfer processes in public transport. Development and implementation of an optimization approach to accelerate the transfer processes in nodes of public transport networks.

Requirements:
- Completed university education in computer science, business informatics, traffic science, physics, mathematics, economics / engineering and related degree programs
- Interest in working with data and software
- Good knowledge of quantitative analysis methods is desirable
- Scientific interest, high motivation for research

Employment is initially limited to 31 October 2019. Thereafter, the contract may be extended until 30 June 2021. Depending on on personal experience, the classification is made according to the remuneration group 10 TV-L.

More info at the link

University of Applied Sciences Karlsruhe - Technology and Economics Germany Go Academia
15 Nov 2018 PhD position in Analisys of Mode Choices

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At the earliest possible date, the following PhD position (50% part-time) concerning the MWK research project "Mobility Concepts for Carbon Free Campus Karlsruhe" is to be filled at the Institute for Transport and Infrastructure.

Responsibilities:
- Estimating transport mode choice models
- Predictive analysis of mode choices

Requirements:
- Completed university education in computer science, business informatics, traffic science, physics, mathematics, economics / engineering and related degree programs
- Interest in working with data and software
- Good knowledge of quantitative analysis methods is desirable (in particular, discrete choice models)
- Scientific interest, high motivation for research

Employment is initially limited to 31 October 2019. Thereafter, the contract may be extended.
Depending on personal experience, the classification is made according to the remuneration group 13 TV-L.

For further information, please see the pdf at the link.

University of Applied Sciences Karlsruhe - Technology and Economics Germany Go Academia
31 Oct 2018 Research Engineer for Data Products

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This is a call for permanent research position as Research Engineer at Verizon Connect, via Paisiello 26, Firenze.

The Research Engineer will be responsible for the in-house research and development of strategic data products. He/she will analyze signals collected by the Internet of Things platform and customize remote tracking units to create innovative applications. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.

(More in the link)

Verizon Connect (Florence) Italy Go Industry
31 Oct 2018 Data Scientist and Senior Data Scientist for Data Products

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This is a call for permanent research positions as Data Scientist and Senior Data Scientist at Verizon Connect, via Paisiello 26, Firenze.

We have immediate need for a Senior Data Scientist to join Data Products team of Verizon Connect.

Both the Data Scientist and Senior Data Scientist the will join the Data Products team and they will be responsible for the in-house research and development of strategic data products. They will use state-of-the-art machine learning algorithms to analyze their massive datasets and come up with innovative solutions to make their products smarter. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.

(More in the link)

Verizon Connect (Florence) Italy Go Industry
25 Oct 2018 Post-doc in Optimization and Decision Systems

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The position will be at ENTEG, Royal University Groningen within Professor Dario Bauso's group and part of the duties of the postdoc will be to supervise Research Project for 2nd year MSc students at Industrial and Management Engineering, stream Logistics.
Ideally the selected candidate should start by the end of October.

For further information and to apply mail to dariobauso74@gmail.com

Royal University Groningen Netherlands Go Academia
19 Oct 2018 Ph.D. position in Machine Learning for Combinatorial Optimisation

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The Dalle Molle Institute for Artificial Intelligence (www.idsia.ch) opens a full-time Ph.D. student position in the areas of Machine Learning and Combinatorial Optimisation, with applications to optimisation problems in transportations and logistics.

Duties
- Research work on the application of state-of-the-art Machine Learning and Deep Learning techniques to Optimisation problems
- Development of methods in the fast-evolving field of Machine/Deep Learning for applications in the field of Optimisation for real logistic problems. (In both fields, the Institute has a renowned reputation and is active on several projects already)
- The student will have a significant freedom to explore these topics and will be closely supervised by prominent researchers in the areas.
- Moderate teaching duties.

Requirements
- Master degree with full honours, preferably in Applied Mathematics and/or Computer Science, or alternatively in a quantitative faculty such as Engineering, Statistics or similar.
- Excellent programming skills.
- Excellent scientific writing skills.
- Excellent background in Machine Learning and Deep Learning.
- Excellent background in Combinatorial Optimisation and Operations Research.

We offer
- Fixed-term position for 3 years, with possible extensions.
- Attractive salary, in line with Swiss standards (roughly 50000 CHF per year, low taxes).
- International working environment.
- Generous travel support to attend high quality conferences and workshops.

Applicants should provide the following documents:
1. Curriculum Vitae.
2. List of three references (with e-mail addresses).
3. Letter of motivation.
4. List of taken bachelor and master’s exams, with grades.

For further information and to apply mail to Professor Roberto Montemanni

Dalle Molle Institute for Artificial Intelligence Switzerland Go Academia
17 Oct 2018 Research fellowship on Models and methods for ship scheduling problems

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The Department of Management at Università Ca' Foscari Venezia invites applications for a
fellowship in: Models and methods for ship scheduling problems – PRIN 2015 – Smart PORt
Terminals - SPORT” (grant number: 2015XAPRKF) CUP H72F15000440003 under the supervision of
Raffaele Pesenti, Chair of MAT/09 – Operations Research

Università Ca' Foscari Venezia Italy Go Academia
01 Oct 2018 Pre-doc or Post-doc in Operational Research (warehouse optimisation)

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Inoltro il sequente messaggio della Prof. Scutellà, che si occuperà anche della supervisione dell'assegnista:

Con alcuni colleghi ingegneri abbiamo vinto un
POR FESR 2014-2020, bando per grandi imprese.
Obiettivo è realizzare un sistema integrato hw/sw
per il monitoraggio e la gestione di merci e
carrelli di movimentazione in magazzini estesi e
ad alto indice di rotazione (l'azienda capofila è
Sofidel, rotoloni Regina). Lato Ricerca
Operativa, andranno studiati e risolti problemi
di ottimizzazione che scaturiscono in questo
contesto.

University of Pisa Italy Go Academia
21 Aug 2018 PhD position in Operations Management

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At least 50% of your assignment will be spent on academic research in preparation of a doctoral dissertation.
You will assist in the teaching activities at the department, specifically the following courses ‘Logistics and Supply Chain Management’ and ‘Production and Logistics Management’.
You will assist in the internal and external services of the department.

University of Ghent Belgium Go Academia
31 Jul 2018 Optimisation and Decision Support Consultant

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We seek a high performing Consultant to work in our Optimisation and Decision Support Practice which delivers consulting and implementation services to our customers globally. The selected candidate will be working with some of the largest oil & gas companies in the world helping them improve their decision processes through designing and implementing optimisation algorithms, providing advanced decision support and implementing KPI based planning methods.

Responsibilities
. Facilitating and leading workshops with clients, with the purpose of analysing and gathering user requirements and documenting business processes
. Analysis of business requirements and present findings concisely.
. Model decision processes and value chains
. Performing opportunity mapping, gap analysis, identify risks, identify dependencies and recommendations for process improvement
. Integration of domain-specific optimisation models across the oil and gas value chain

Skills
. Keen interest in taking decision making and algorithm performance to the next level.
. Self-driven, ambitious and willing to take ownership of projects/tasks
. Desire to learn and adapt new skills, tools and technologies
. Willing to work in a highly complex environment
. Able to cooperate with business stakeholders at multiple levels of an organization
. Excellent communication skills (written and verbal) in English
. Ability to work in multi-cultural set up and in distributed teams
. Ability to start with minimum information and proactively gain knowledge
. Solid understanding of the upstream Oil & Gas value chain

Qualifications
. Master’s degree or higher within Operations Research, Cybernetics, Algorithm design or similar
. Experience from business consulting, optimisation consulting, advanced analytics consulting or similar is preferable

To apply, please send a CV and a cover letter to Jorgen.Rakke@tieto.com

About Tieto
At Tieto we are a team of professionals spread across many countries who are working on the frontline of a wide range of industries. We inspire, we engage and we deliver. We have global capabilities and a strong presence where our clients need it – in the Nordics or via local delivery centres across the globe.
Are you looking for a career with a company that both challenges and cares? Welcome to Tieto. We are committed to developing enterprises and society through information technology. We believe in openness, independent thinking, and in giving our people the freedom to be their exceptional selves. We are the largest Nordic IT services company providing full lifecycle services for both private and public sectors. Our work puts us at the frontline of a wide range of industries.
We offer you the chance to make a difference and be part of the forefront of emerging businesses and technology, exchanging ideas with the best professionals. You will cooperate with colleagues in an international and evolving working environment, and increase your knowledge in a variety of areas.
We offer you a challenging position with great opportunities for professional growth. With us you will have the opportunity to directly influence your career development. If you have a good idea, people will listen to you. We believe that trust fosters freedom and creativity. Our culture is built on transparency and active sharing – a truly open environment.
Interested? We look forward to receiving your application and the opportunity to discuss with you!

Tieto Norway Go Industry
30 Jun 2018 Research Scientist in Constraint Programming and Optimisation

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UTRCI seeks candidates with Constraint Programming, Artificial Intelligence and Optimization expertise to work as part of multidisciplinary teams on developing and inserting advanced reasoning capabilities into a range of UTC technologies, with direct impact on the capabilities of our products, satisfaction of our customers and the competitive advantage of our business units.
Besides technical excellence, the ideal candidate will be passionate about improving the lives of our customers through innovative products, will work well as part of international teams, will be extremely well-organized and would have excellent communication skills.

(More in the link)

UTRCI Ireland Go Industry
30 Jun 2018 Operational Research Scientist

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Amazon is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization (MOP) team. We are hiring specialists at all levels into our scientific team with expertise in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning.

Amazon.com is a multi-billion dollar company that is growing rapidly. Because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is to utilize available data in the development of analytical modeling and visualization tools. As part of the MOP Routing Science team, your main focus will be on developing and improving to our last-mile experience, with emphasis on algorithmic and analytical work.

You will also play an integral role in the network planning, modeling, and analysis that will improve the efficiency and cost effectiveness of global fulfillment operations. You will identify and evaluate opportunities to reduce variable costs by improving the transportation network topology, inventory placement, transportation operations and scheduling, fulfillment center processes, and the execution to operational plans. You will also improve the efficiency of capital investment by helping plan the location and deployment of fixed assets. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

Amazon (Palo Alto, California offices) United States Go Industry