Research Engineer - Hpc Applications Analysis H/F - 33

A propos d'Inria

Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.Research engineer - HPC applications analysis
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : De 3 à 5 ans

A propos du centre ou de la direction fonctionnelle

The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute...

Contexte et atouts du poste
The position will be conducted in the context of ESCRIPTIUM.
ESCRIPTIUM aims to identify threats on supercomputers by accessing power consumption profilings. We are specifically interested to detect 1) usages that do not respect systems's usage guidelines, 2) perform non legal activities (e.g., bitcoin), or 3) are an issue for nationalsecurity.ESCRIPTIUM is a collaboration between Inria Tadaam [1], the University of Bordeaux [2], and Denergium [3]. Denergium offers a software solution with key profilings datasets that describes different system usages. In turn, researchers from Inria and the University of Bordeaux will provide expertise on AI and modeling techniques to analyze the resultingdatasets to eventually identify unusual patterns.[1][2][3]
Mission confiée
The engineerassignmentis divided into four steps.1) Data curation and analysis. After collecting the dataset, the engineerwill clean the dataset: specifically, they will normalize the different energy traces and reduce as much as possible the noise due to measurement. The end goal is to generate curated energy time series. While potentially tedious, this task is critical to ensure that any subsequent model can accurately detect any unusual behaviors.2) Unsupervised clustering. There is a wide variety of AI and signal techniques to analyze time series. The goal of the second task is to identify common groups of behaviors across the different energy traces. We will leverage the temporal aspect of the different series with featureextraction methods or alternatively directly with temporality aware distance metrics. The engineer will be in charge of implementing and testing these different approaches over the energy dataset.3) Augmenting application information. Beyond the energy measures from Denergium, we can extend our profiling capabilities to track more diverse information including performance counters or interference effects coupled with scalability. The engineer will assess how much extra information can improve the clustering of the different traces.4) Supervised / anomaly detection. Finally, the engineerwill try to label the previously generated clusters. To do so, they will investigate known threads or unexpected behaviorsto extract and characterize their profile.
Compétences
Candidates are expected to:- have excellent communication skills- have experience in conducting research activities (i.e., read and understand research publications or implement research prototypes)- have experiencein signalprocessing- be familiar with HPC system usage- possess performance and energy monitoring expertise- have background in AI techniques
Avantages

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage

Rémunération

The gross monthly salary will be between 2765 and 3085€ (after witholding taxes) depending on you qualification and experience.