10 Feb 2026
Job Information
- Organisation/Company
Grenoble INP - Institute of Engineering- Department
Engineering- Research Field
Engineering- Researcher Profile
First Stage Researcher (R1)- Positions
PhD Positions- Application Deadline
3 Mar 2026 - 20:00 (Europe/Paris)- Country
France- Type of Contract
Temporary- Job Status
Full-time- Offer Starting Date
1 Apr 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Development and extension of a benchmarking framework for quantized and pruned neural networks, creation of quantized and pruned demonstration models, reproduction of state of the art, experiments in heterogeneous quantization
Depending on expertise, the candidate will help the team on the following tasks and research areas :
- improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...)
- improve implementations of low-level layer implementations
- extend hardware developments to use near-FPGA DDR and HBM memories
- create functional demos using networks of interest (Yolo, Resnets, LLMs, ...)
- create proof-of-concept implementations for compression, heterogeneous quantization, etc
- reproduce state of the art network parameters with extreme quantization and compression of parameters
- design and implement next-generation hardware-friendly inference solutions
- participate to publication and valorization of these works
Where to apply
job-ref-42dqy7g9pn@emploi.beetween.com
Requirements
- Research Field
- Engineering
- Education Level
- PhD or equivalent
Skills/Qualifications
- Excellent knowledge in architecture of quantized and pruned neural networks
- Solid programming skills, languages C / C++ / Python
- Solid knowledge in architectures of digital circuits, FPGA would be a plus
- Knowledge in coding and compression of information, or signal processing
- Experience with manipulation and customization of AI training flows
- Experience with RTL languages (Verilog or VHDL), VHDL would be a plus
- Proficiency with English language is highly recommended
- Proficiency with French language would be a plus
- Interest in technologies of microelectronics and problem solving would be appreciated
Specific Requirements
Possibility for remote work 2 days a week
- Languages
- ENGLISH
- Level
- Excellent
- Languages
- FRENCH
- Level
- Good
- Research Field
- Engineering
- Years of Research Experience
- 1 - 4
Additional Information
Selection process
Applications must be sent before March 3d to this email address: job-ref-42dqy7g9pn@emploi.beetween.com
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Grenoble INP UGA
- Country
- France
- Geofield
Contact
- City
Grenoble- Website
http://www.grenoble-inp.fr- Street
46 avenue Félix Viallet- Postal Code
38000
job-ref-42dqy7g9pn@emploi.beetween.com
STATUS: EXPIRED
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