PhD Positions in Trustworthy AI Hardware Architectures
il y a 3 semaines
Job Context:
The INRIA research team is seeking a highly motivated PhD student to work on the development of trustworthy AI hardware architectures. The goal of the project is to design and implement AI hardware accelerators that are resilient to hardware faults and ensure the transparency of AI decisions.
Key Responsibilities:
- Analyze the impact of hardware faults on AI and XAI decisions;
- Design low-cost fault tolerance approaches to efficiently detect and correct HW faults;
- Implement fault-tolerant AI hardware accelerators that ensure the correctness of hardware and AI decisions.
Required Skills:
- Good knowledge of computer architectures and embedded systems;
- Machine Learning (pytorch/tensorflow) skills;
- HW design: VHDL/Verilog basics, HW synthesis flow;
- Basic programming knowledge (C/C++, python);
- Experience with High Level Synthesis (HLS) is a plus.
Working Conditions:
- Subsidized meals;
- Partial reimbursement of public transport costs;
- Possibility of teleworking (90 days per year) and flexible organization of working hours;
- Partial payment of insurance costs.
Salary:
monthly gross salary amounting to 2100 euros for the first and second years and 2200 euros for the third year.
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