PhD Position Human-Robot Interaction: A PhD position is available at the Inria Grenoble research center, focusing on anticipating human behavior for improved human-robot interaction. The project aims to estimate human intentions within a collaborative human-robot setup using visual data, enhancing the understanding and prediction of human actions for smoother and more intuitive collaborations. The position involves joint supervision by experts from the THOTH and RobotLearn teams and offers opportunities for interdisciplinary research, collaboration, and training.
PhD Position F/M Anticipating Human Behavior for Human-Robot Interaction
Summary Table:
| Title | PhD Position F/M Anticipating Human Behavior for Human-Robot Interaction |
|---|---|
| Type of Contract | CDD (Fixed-term contract) |
| Degree Required | MSc degree or equivalent |
| Function | Doctorant (PhD student) |
| Start Date | 2024-10-01 |
| Duration | 3 years |
| Location | Montbonnot, Inria Grenoble Alpes Research Center |
| Application Deadline | 2024-07-14 |
| Contact | pia.bideau@inria.fr |
Study Area:
- Theme/Domain: Human-Robot Interaction, Machine Learning, Computer Vision, Representation Learning
Scholarship Description:
- Research Center: Inria Grenoble, a leading institute in high-performance computing, verification and embedded systems, data science, and artificial intelligence, with extensive international collaborations.
- Project Collaboration: Between Inria team THOTH and the Multidisciplinary Institute in Artificial Intelligence (MIAI) in Grenoble.
- Focus Areas: Embedded and hardware architectures for AI, learning and reasoning, perception and interaction, AI for health, environment & energy, and industry 4.0.
- Project Goals:
- Identify Human Hand-Object Configurations: Develop algorithms to classify and understand human hand interactions with objects.
- Anticipate Future Actions: Implement predictive models for human actions to enable proactive robot responses.
- Develop Latent Action Representations: Utilize generative models for better action classification and anticipation.
- Address Low Data Availability: Use transfer learning, data augmentation, and synthetic data generation.
- Manage Unknown Classes: Identify and incorporate new action classes in real-time.
Eligibility:
- Degree: MSc in computer science or a similar field.
- Skills:
- Excellent English writing and communication.
- Software engineering and programming in Python (C++ is beneficial).
- Technical background in robotics, machine learning, and computer vision.
- Additional Qualifications:
- Industrial experience is a plus.
- Interest in interdisciplinary research with MIAI Grenoble Alpes Institute.
Required Documents:
- CV
- Certificates (MSc degree)
- Research statement
- Two references
How to Apply:
- Applications will be screened on a rolling basis.
- The position will be filled as soon as a suitable candidate is found.
- Send the required documents to pia.bideau@inria.fr
Last Date:
- Application Deadline: 2024-07-14
Benefits:
- Salary:
- 1st and 2nd year: 2,100 euros gross/month
- 3rd year: 2,190 euros gross/month
- Additional Benefits:
- Subsidized meals
- Partial reimbursement of public transport costs
- 7 weeks of annual leave + 10 extra days off (RTT)
- Possibility of teleworking and flexible working hours
- Professional equipment available
- Access to social, cultural, and sports events and activities
- Vocational training
- Complementary health insurance under conditions
