Engineer (H/F): Automated Discovery of Interference
il y a 5 jours
Le descriptif de l’offre ci-dessous est en Anglais_
**Type de contrat **:CDD
**Niveau de diplôme exigé **:Bac + 5 ou équivalent
**Fonction **:Ingénieur scientifique contractuel
**Contexte et atouts du poste**:
A major contribution of the Flowers team in recent years has been the development of curiosity-driven learning algorithms (Baranes & Oudeyer, 2013). These algorithms, coupled with deep representation learning techniques (Laversanne-Finot et al., 2018), have enabled both a better understanding of learning mechanisms in humans (Gottlieb & Oudeyer, 2018), but also the construction of machines/robots capable of efficiently exploring and learning repertoires of diverse tasks in high-dimensional spaces (Colas et al., 2019), or solving complex optimization tasks with local mínima (Colas et al., 2018). This work has helped to introduce and develop a new field of research in artificial intelligence: intrinsically motivated learning.
Recently, the Flowers team discovered that these algorithms could be applied to a family of problems of great scientific and industrial importance: the automated exploration of complex systems (e.g. physico-chemical, biological or numerical) in order to discover new structures, learn new representations of them (deep learning techniques), make a map of them, and use this map to make the optimization of target structures more efficient (Etcheverry, 2023).
To encourage and facilitate the re-use of these tools by a broader audience of chemists, biologists, artists and others, we are designing a fully open-source interactive software that aims to provide tools to easily use exploration algorithms (e.g. the developed curiosity-driven ones) for assisting discovery in various complex systems (_Flowersteam/Adtool_, 2024/2024). We call them Automated Discovery Algorithms.
The proposed Research Engineer position is in the context of larger national research project on _Analysing Interferences with AI (AIxIA)_, involving several partners with a strong expertise in AI and onboard systems (IRT Saint Exupery), in multi-core architectures, system-on-chips, GPUs and temporal analysis (IRIT and IRISA), as well in automated discovery in complex systems (Inria-Flowers, where the proposed position will be located).
**Mission confiée**:
- Understanding in detail the problem of interference characterization in such architectures, as well as automated discovery algorithms. This will involve a literature review on both topics, informed by discussions with the project partners.
- Studying and formalizing how automated discovery algorithms can be applied to the problem of interference characterization.
- Adapting and extending the automated discovery algorithms currently implemented in the adtools library to the considered problem.
- Running large-scale experiments to evaluate the method and refine it. This can be first performed on a simplified simulated model of mutli-core architectures, the final objective being to perform it on a real hardware architecture in collaboration with other partners.
- Analyzing the resulting data and publishing the results.
The contract duration is 18 months, starting as soon as possible.
**Principales activités**:
See above
**Compétences**:
Scientific programming
- Python
- Machine Learning algorithms and frameworks (e.g. Pytorch, JAX)
Prior experience with distributed computing architectures is a plus.
**Avantages**:
- Subsidized meals
- Partial reimbursement of public transport costs
- 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**:
2692€ / month (before taxs)
**Informations générales**:
- **Thème/Domaine**: Robotique et environnements intelligents
- **Ville**: Talence
- **Centre Inria**: Centre Inria de l'université de Bordeaux
- **Date de prise de fonction souhaitée**: 2024-12-01
- **Durée de contrat**: 1 an, 6 mois
- **Date limite pour postuler**: 2024-10-17
**Consignes pour postuler**:
Thank you to send:
- CV
- Cover letter
- Spport letters (mandatory)
**Sécurité défense**:
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
**Politique de recrutement**:
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
**Contacts**:
- **Équipe Inria**
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