PhD/Postdoc Positions: Deep Learning: Join the dynamic research environment at CentraleSupélec/IETR in Rennes with 1 PhD/Postdoc position available on Side-Channel Resistant DNN Hardware Accelerators. This opportunity, part of the ANR JCJC project ATTILA, focuses on investigating side-channel vulnerabilities of DL systems in heterogeneous reconfigurable platforms. The position offers the chance to delve into cutting-edge research in hardware security and deep learning hardware, collaborating with leading experts in the field.
PhD/Postdoc Positions: Deep Learning Hardware Security at IETR – IRISA/Inria
Location:
IETR laboratory, Rennes, France
Eligibility/Qualification:
Candidates should:
- Hold a Master’s degree (or equivalent) or Ph.D. in Computer/Electrical Engineering, Computer Science, Microelectronics, Embedded Systems, or related fields
- Possess a strong background in side-channel attacks/analysis, cryptanalysis, HW/SW security, FPGA/SoC-FPGA design, DNN/CNN implementation, or machine learning/artificial intelligence
- Have experience in programming languages such as C/C++, Python, and familiarity with Linux/Git
- Demonstrate proficiency in English (French language skills not required)
- Exhibit excellent communication, collaboration, and problem-solving skills
Description:
The selected candidate will conduct research within the framework of the ANR JCJC project ATTILA, focusing on developing secure accelerators against side-channel attacks (SCA) targeting DL systems. Research directions include DNN implementation, side-channel evaluation, countermeasure implementation, and advanced side-channel analysis techniques. The position offers the opportunity to pursue a Ph.D. or postdoctoral research in a stimulating and supportive environment, with the flexibility to develop a personalized research agenda.
How to Apply:
Interested candidates should email the following documents to the contacts listed below:
- CV
- Reference letter/s from previous supervisors
- Copies/links to reports/papers/repositories showcasing relevant experience
For Postdoc candidates: - Motivation letter and research statement (max 4 pages)
- Ph.D. thesis manuscript
For PhD candidates: - Motivation letter
- Bachelor/Master transcripts
Please reach out to the contacts provided for further details and inquiries.
Contacts:
- Rubén Salvador: ruben.salvador@inria.fr
- Maria Méndez Real: maria.mendez@univ-nantes.fr
- Jean-Christophe Prévotet: Jean-Christophe.Prevotet@insa-rennes.fr
- Amor Nafkha: Amor.Nafkha@centralesupelec.fr
Deadline:
Interviews will begin upon receiving applications and continue until the positions are filled.
