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Portail > Offres > Offre UMR5814-CLABOM-010 - Ingénieur en informatique ou Data Scientist (H/F)

Data Scientist (M/F)

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR5814-CLABOM-010
Workplace : ANNECY LE VIEUX
Date of publication : Friday, January 25, 2019
Type of Contract : FTC Technical / Administrative
Contract Period : 36 months
Expected date of employment : 11 March 2019
Proportion of work : Full time
Remuneration : between 2076 et 2648 Euros according to experience
Desired level of education : 5-year university degree
Experience required : Indifferent

Missions

LAPP is proposing a Data Scientist position in the framework of ESCAPE (European Science Cluster of Astronomy & Particle Physics ESFRI Research Infrastructures), a project funded by the European Commission in the EU's Horizon 2020 Framework Program (grant No 824064). The selected candidate will join the LAPP "Scientific Computing and Data" research team involved in various research projects (i.e. ATLAS, HESS, CTA, LSST, etc.), which provides a key contribution in ESCAPE. The work will focus on: (i) software development for Big Data and using innovative methods such as machine learning; (ii) deployment and coordination of the open EOSC catalogue of software, data and services for scientific analysis.

Activities

Within the LAPP local team of researchers in physics and computer science, engineers and PhD students, as part of an international consortium bringing together a large number of major research projects in particle physics, astroparticle and astronomy:
- Participation in the development and deployment of scientific analysis software and its interface with BigData archives
- Supervision and coordination of acceptability procedures and publication of scientific software in an EOSC catalogue according to FAIR principles (findable, accessible, interoperable and reusable).
- Participation in training preparation, webdoc and tutorial for software programming and exploitation of open access data analysis services.
- Prototyping in suitable programming and/or scripting languages software and services and their integration in suitable web-based analysis platforms

Skills

- Minimum qualification: University degree in Computer Science, Mathematics, Astronomy, Physics, Software/Computing Engineering, or equivalent.
- Proven track record of working with large volumes of data and in software development projects
- Experience/Knowledge of deep learning techniques (PyTorch or scikit-learn)
- Ability to prototype software in common programming or scripting languages (e.g. python)
- Knowledge of relational databases and SQL.
- Knowledge of issues and related technical implications of software quality, auditing, provenance and licensing
- Experience with web-applications
- Knowledge of open source software development platform and web-based services for the whole computation process: developing, documenting, and executing code, as well as communicating the results
- Ability to work in a team (agile framework - scrum)
- Strong conceptual and analytical skills.
- Good interpersonal communication skills and ability to work collaboratively.

Work Context

LAPP is a high-energy physics laboratory located in Annecy, 50kms from Geneva. The laboratory was founded in 1976 and is one of the laboratories of IN2P3 (Institut de Physique Nucléaire et de Physique des Particules), institute of CNRS (Centre National de la Recherche Scientifique). LAPP is a joint research laboratory of the University Savoie Mont Blanc (USMB) and the CNRS-IN2P3. Close to 150 people are working at LAPP. Research carried out at LAPP aims at studying the ultimate constituents of the matter, their fundamental interactions, as well as exploring their connections with the large structures of the Universe.

LAPP is heavily involved in particle physics projects (ATLAS, LHCb, DUNE, SuperNemo, STEREO), astroparticles and cosmology (AMS, HESS, CTA, Virgo and LSST).
The LAPP laboratory coordinates the ESCAPE project.

The European Union member states, recognising the challenges of data driven research in pursuing excellent science, have launched the European Open Science Cloud (EOSC) initiative. EOSC is a cloud for research data in Europe allowing for universal access to data through a single online platform. EOSC will federate existing resources across national data centres, e-infrastructures and research infrastructures allowing researchers and citizens to access and re-use data produced by other scientists. EOSC success is based on continuous engagement with scientific stakeholders actively supporting its implementation and in their respective capacities.
ESCAPE aims to address the Open Science challenges shared by ESFRI facilities (CTA, ELT, EST, FAIR, HL- LHC, KM3NeT, SKA) as well as other pan-European research infrastructures (CERN, ESO, JIV-ERIC, EGO- Virgo) in astronomy and particle physics research domains. The complexity of all this new apparatus in science grows rapidly, the data volume produced by them is seeing a tremendous increase and the software to analyse the data is becoming more and more complex. On the other hand, this data should be accessible to the growing scientific communities, as they collaborate and interact. The ESCAPE project brings together partners from astronomy and particle physics to collaborate on building the EOSC. The ESCAPE actions aim at delivering solutions to ensure integration of data, tools, services and scientific software; to foster common approaches to implement open-data stewardship; to establish interoperability within EOSC as an integrated multi-probe facility for fundamental science.
The ESFRI projects concerned by ESCAPE all have the mission in common to provide open access to their quality-certified scientific data, including dedicated analysis software stacks, and high-level science tools.
The complexity of collection, processing and deployment of data produced and handled by the concerned ESFRI facilities demands innovative solutions and calls for cross-fertilisation actions. The development of multi-messenger and multi-probe data analysis practices promotes activities to maximise software re-use and co-development and enables Open Science, linking not only the ESFRI projects to the EOSC environment but also the scientific community behind them.
On of the aims of ESCAPE is to expose the tools of the ESFRI projects in a repository under the EOSC catalogue of services, ensuring compatibility with FAIR principles.

Constraints and risks

Regular travels in Europe will occur.

Additional Information

12-months contract RENEWABLE up to 36 months

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