1 Mar 2024
Job Information
- Organisation/Company
Université de Lille- Research Field
Computer science » Informatics- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Country
France- Application Deadline
11 Apr 2024 - 22:00 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Offer Starting Date
1 Oct 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France and the PR team from the MIS Laboratory, Amiens France are looking to recruit a joint PhD student starting in October 2024 on the following subject: EventSpike - Asynchronous computer vision from event cameras
Abstract: Video analysis is one of the fundamental tasks in computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires significant human work; b) the significant computational and therefore energy cost of these approaches; and c) redundancy in terms of visual information between two successive images. Spiking neural networks can offer a solution to these problems, through the use of unsupervised learning rules inspired by biological learning and the possibility of implementing them on ultra-low energy hardware components. . Event cameras that only communicate changes in light intensity are positioned as an alternative for capturing a scene when efficient processing on hardware with low computing capabilities is required. The objective of this thesis is to offer a joint response by proposing weakly supervised learning methods based on spiking learning mechanisms which will directly exploit the flow of impulses generated by an event camera. We are targeting applications around autonomous driving, such as the detection of moving vehicles or the recognition of information conveyed by large displays along the road infrastructure.
The objective of this thesis is to develop new models of spiking neural networks (SNN) capable of directly processing visual information in the form of spike trains. The proposed models must be validated experimentally on dynamic vision databases, following standard protocols and best practices.
The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations).
We look forward to receiving your application until 12.04.2024
The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon.
Funding category: Contrat doctoral
PHD title: Doctorat en Informatique
PHD Country: France
Requirements
Specific Requirements
Candidates must hold a Master degree (or an equivalent degree) in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus:
• image processing, computer vision;
• machine learning;
• bio-inspired computing;
• research methodology (literature review, experimentation…).
Candidates should have the following skills:
• good proficiency in English, both spoken and written;
• scientific writing;
• programming (experience in C++ is a plus, but not mandatory).
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Université de Lille
- Country
- France
- City
- Lille
- Geofield
Where to apply
- Website
https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/120758
Contact
- Website
https://pro.univ-lille.fr/marius-bilasco/
STATUS: EXPIRED