Compagnie

Télécom ParisVoir plus

addressAdresse19 place Marguerite Perey Palaiseau, France
CatégorieEnseignement

Description de l'emploi

Job description

Who are we?

Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of the top 5 French general engineering schools.

The guiding mission of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.

We are looking for an associate Professor in Machine Learning for Natural Language Processing to join the Statistics, Signal and Learning (S²A) team in the Images, Data, Signal department. The research will be carried out within the Information Processing and Communication Laboratory (LTCI). Since 2017, this laboratory has continued to carry out the research developed within the CNRS laboratory of the same name.

As an associate professor, you will be responsible for research and teaching in the field of machine Learning applied to automatic language processing. You will work closely with a dynamic team of researchers and engineers, and contribute to the advancement of knowledge in this exciting field.

The main responsibilities of this position include:

  • Conducting cutting-edge research in machine Learning for automatic language processing
  • Participating in collaborative research projects
  • Publishing articles in internationally renowned scientific journals
  • Teaching courses related to machine Learning and automatic language processing
  • Supervise students in their research projects

Job requirements

To succeed in this role, you must have PhD, you must develop your research in machine Learning applied to the field of Natural Language Proecessing and Information Retrieval. In particular, applicants working in one or more of the following research areas are welcome:

- Large Language Models

- Generative models, Conversational AI

- Bias and Explainability in AI

- Frugal Machine Learning
You should also be able to work independently and in a team, and have a creative approach to solving complex problems.

Why join us?
You'll be working in a fast-growing, pleasant, green and accessible environment (particularly for people with disabilities) just 20 km from Paris (RER B and C, close to major roads, shared shuttle service from Porte d'Orléans). You will benefit from :

  • 49 days' annual leave (CA + RTT)
  • Flexible working hours (depending on the department's activity)
  • Teleworking 1 to 3 days/week possible
  • 75% reimbursement of public transport season ticket
  • Proximity to numerous sports facilities, concierge service, underground car park, in-house catering, etc.
  • Staff association at school and department level
  • Good to know: our social security contributions are lower than in the private sector

How to apply To apply, please send the following

  • a detailed CV
  • a letter of motivation
  • thesis and defence reports, if available
  • teaching statement (teaching methods used, initial and continuing training teaching project (max 4 pages)
  • research statement (summary of main areas of research, research project) (max 4 pages)
  • a PDF copy of the most relevant research article
  • the names and email addresses of two reference who can give an informed opinion on the application.

Selection The selection process takes place in 5 stages:

  • Elimination of applications that do not meet the required qualifications
  • Discussion with the host team to draw up a shortlist of candidates
  • Preliminary interview with Human Resources
  • Hearing by the recruitment committee and ranking of shortlisted candidates
  • Final interview with the Director of Télécom Paris

Additional information :
Application deadline: 13th March 2024
Type of contract: Permanent contract
Contact: Matthieu Labeau (matthieu.labeau@telecom-paris.fr), Stephan Clémençon (stephan.clemencon@elecom-paris.fr), Florence Tupin (florence.tupin@telecom-paris.fr
Full job description here

Telecom Paris is an equal-opportunity employer.
All our positions are open to individuals with disabilities.

Refer code: 2525772. Télécom Paris - Le jour d'avant - 2024-01-27 01:39

Télécom Paris

19 place Marguerite Perey Palaiseau, France

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