PhD Student in Advanced Sensor Placement Techniques
Il y a 2 mois
Job Context and Benefits
The PhD thesis will take place at the Université Grenoble Alpes in the Inria-AIRSEA research team. This project is funded by the French exascale supercomputing program.
Research Mission
Bayesian optimal sensor placement is a critical task in various applications, particularly in scenarios where data acquisition is expensive. The primary challenge lies in determining the optimal locations where to observe the system to best infer a specific parameter of interest.
Research Objectives
- Enhance our understanding of the majorize-then-minimize approach used in the gradient-based solution by comparing the solutions obtained from the bound-based approach with those obtained from the conventional EIG-based approach.
- Employ randomized linear algebra methods to accelerate the computation of the bound, which can be expensive to compute in high-dimensional settings.
- Address the challenge of incorporating physical constraints into the sensor placement problem, including technical, financial, and physical constraints.
Advantages
- 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
- Possibility of teleworking (90 days/year) and flexible organization of working hours
- Access to vocational training
- Social security coverage
Remuneration
1st and 2nd year: 2100 euros gross salary/month
3rd year: 2190 euros gross salary/month
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