07/02/2022
ICTP's Quantitative Life Sciences (QLS) section seeks applications from outstanding scientists of any nationality with a strong research record for two postdoctoral positions, possibly including one at the senior postdoctoral level, both starting fall 2022. The application deadline is 20 March 2022.
The positions are linked to the project CHORAL on the Computational Hardness Of RepresentAtion Learning funded by the European Research Council, with QLS researcher Jean Barbier as Principal Investigator.
Candidates should have a background in one (and ideally two or more) of the following disciplines:
Experience in the numerical implementation of inference and machine learning algorithms in addition to the analytic skills is a plus but is not mandatory.
The net monthly salary ranges between 2100–2,700 EUR depending on seniority. Benefits include a private health insurance, a pension contribution, special allowances for family members, competitive travel funds as well as computer equipment.
Applications and expressions of interest are welcome. Applications should include a cover letter, an updated Curriculum Vitae including the full list of publications, a statement of research interests, and two or more letters of recommendation.
Applications must be submitted online.
Incomplete applications will not be considered.
Additional information about the project can be found here.
For additional enquiries and expressions of interest, please contact: qls@ictp.it
Download the Postdoctoral Fellowship flyer (pdf)
About QLS
The QLS section provides a unique international research environment for postdoctoral fellows with about 15 group members, an intense program of workshops and conferences, close collaborations with local institutions (SISSA, ICGEB, Univ. Trieste) and internationally renowned ones (ENS Paris, EPFL, IPhT, UCSD, NTNU, MPIPKS, Aalto Uni, Toronto Uni, Minnesota Uni, etc). The QLS section has expertise in a broad range of fields including statistical physics of information processing, information theory, high-dimensional probability and statistics, statistical learning and inference, reinforcement learning, algorithms, stochastic processes and thermodynamics, theoretical ecology etc. Postdoctoral fellows are encouraged, and supported, to participate in activities in developing countries in order to promote the ICTP mission.
