Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : ICube, University of Strasbourg
Durée : 2 years
Contact : gburgart@unistra.fr
Date limite de publication : 2021-08-06

Contexte :
A Postdoc position is open at University of Strasbourg (ICube lab) – France to start before November 2021.

Send a letter of motivation, your CV, and an example publication to Thomas Lamper and Gisèle Burgart (l1ampert@uni2stra.fr and g1burgart@uni2stra.fr – !remove the numbers!) with the subject beginning with [Chaire Postdoc].

The position will remain open until a suitable candidate is found and the starting date will be agreed upon with the successful candidate but will be no later than 1st November 2021.

Detailed Description: https://seafile.unistra.fr/f/8c723d6a74834196b1aa/?dl=1

Sujet :
Deep Learning, Domain Adaptation, Multi-Modal Representations
The position will be funded for two years (initially for one year, renewable for an additional year). The candidate will join the SDC research team under the supervision of Dr Thomas Lampert, the Chair of Data Science and Artificial Intelligence, and join his international team of PhD students and engineer to develop novel deep learning approaches to domain invariant representation learning (particularly in multi-modal data), with application (but not restricted) to Medical Imaging and Remote Sensing. The funding is not connected to a particular project, so it is the perfect opportunity for a strong candidate to explore new directions under the supervision of the Chair.

Profil du candidat :
The successful candidate will have (or will soon obtain) a PhD in computer science or related domain and have experience in deep learning and applied machine learning and a strong level of written and spoken English. Experience with transformers, GANs, autoencoders, and/or unsupervised/self-supervised DL (autoencoders, etc) would be a plus. You will join a growing team and will have the freedom to follow your interests in a direction complementary to the abovementioned research focusses. You will be expected to target leading outlets in the field of machine learning and a strong track record in CVPR/ICCV/ECCV, NIPS/ICML/ICLR, or PAMI/IJCV/TIP. Candidates who are able to carry out the highest quality research independently, to co-supervise PhD students, and to give their input on a number of projects being carried out in the team are pursued. You will have access to state-of-the-art hardware for deep learning.

Formation et compétences requises :
PhD in computer science or related domain.

Adresse d’emploi :
ICube UMR 7357 – Laboratoire des sciences de l’ingénieur, de l’informatique et de l’imagerie
300 bd Sébastien Brant – CS 10413 – F-67412 Illkirch Cedex