Assistant / Associate Professor in Machine Learning for Natural Language Processing - Permanent[...]

Institut Mines-Télécom; Palaiseau; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

L'Institut Mines-Télécom recherche un Professeur Associé en Machine Learning pour le traitement du langage naturel, pour rejoindre le laboratoire LTCI. Les candidats doivent posséder un doctorat et avoir une expertise en machine learning, avec un accent particulier sur le traitement du langage naturel. Le poste offre flexibilité, avantages sociaux attractifs, et un environnement de travail agréable proche de Paris.

Prestations

49 jours de congés annuels

Horaires de travail flexibles

Télétravail possible 1 à 3 jours/semaine

Remboursement de 75% de l'abonnement de transport public

Accès à de nombreuses installations sportives

Service de conciergerie

Restauration sur place

Qualifications

• Docteur avec expertise en Machine Learning et traitement du langage naturel.
• Expérience en enseignement universitaire est un plus.
• Fluency en anglais requise.

Responsabilités

• Participer à la conception et à l'implémentation des programmes d'enseignement.
• Réaliser des recherches dans le domaine scientifique.
• Développer des partenariats et des collaborations.

Connaissances

Machine Learning

Traitement du langage naturel

Statistiques

Formation

PhD

Description du poste

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 joinImage, Data, Signal (IDS) department in the LTCI laboratory.

The Information Processing and Communication Laboratory (LTCI) is Telecom Paris' in-house research laboratory. Since January 2017, it has continued the work previously carried out by the CNRS joint research unit of the same name. The LTCI was created in 1982 and is known for its extensive coverage of topics in the field of information and communication technologies. The LTCI's core subject areas are computer science, networks, data science, signal and image processing and digital communications. The laboratory is also active in issues related to systems engineering and applied mathematics.The open position is part of the research strategy of LTCI and Télécom Paris around Data Science, Machine Learning and Artificial Intelligence. The position will be hosted by the Statistics, Signal processing and Machine Learning (S²A) team, within the Images, Data & Signals department. In particular, research at the S²A team is characterized by a fruitful interplay between statistics and probabilistic modeling, machine learning, signal processing, audio data analysis and natural language processing. The associate professor will contribute as well to the dynamics of the Institut Polytechnique de Paris with a very rich ecosystem where projects in Data Science abound, whether it be between academic teams or with industrial groups.

Your main tasks will be to :

• Participate in the design and implementation of teaching programs in the field of machine learning for language processing
• Conduct research in your scientific field
• Participate in the development of partnerships, collaborations and contractual relationships in your scientific field

To succeed in this role, you have a PhD and you are fluent in English.

The recruited researcher will develop their research in Machine Learning, with a focus on Deep Learning with expertise in Natural Language Processing (including the processing of natural language as text, speech, or information retrieval) being a requirement. Additionally, the IDS department and S²A team have a particular interest in the following transversal themes :

• Generative models, Conversational AI
• Bias and Explainability in AI
• Frugal Machine Learning

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 documents :

• an activity report (table of activities) on research (supervision, problems, etc.), teaching

teaching (title, volume, etc.) and collective tasks (max 4 pages)

• a teaching description (summary of activities, a brief plan for integration into university teaching and continuing education)

teaching at university level and continuing education) (max 4 pages)

• a research description (summary and results of activities, a brief plan for integration into research)

research) (max 4 pages)

• a copy of the 3 best publications, list of publications
• the names and addresses of two qualified personalities who can give an informed opinion on the

application.

The selection process takes place in 5 steps :

• Elimination of applications that do not have the required qualifications.- Pre-selection of candidates by the team
• Pre-interview with Human Resources
• Hearing by the recruitment committee and ranking of successful candidates
• Final interview with the Director of Télécom Paris

Additional information :

Type of contract : Permanent

Full job description here

Our recruitment is based on skills, without distinction of origin, age, gender identity, or sexual orientation, and all our positions are open to individuals with disabilities.