Postdoctoral Fellowships Open

ICTP's Quantitative Life Sciences (QLS) section announces two openings for postdoctoral fellowships, to start in the summer or fall of 2019. Young scientists of any nationality with a strong research record are encouraged to apply, especially those interested in ICTP's mission to support research and education in the developing world.

The postdoctoral fellowships are in the following fields:

• Statistical Learning (application deadline 1 July): Candidates should have a background in mathematics (probability, statistics), theoretical physics (statistical physics), computer science, information theory, electrical engineering and/or related disciplines, and be able to carry out active, independent and multidisciplinary research in Statistical Inference and Learning: Mathematical & Algorithmic Aspects, including the following areas:  High-dimensional statistics, probability, statistical inference, signal processing, machine learning, neural networks, analysis of algorithms, statistical physics, spin-glass models, information theory, error-correcting codes, discrete mathematics, combinatorial optimization. Candidates with expertise in numerical implementation of inference and machine learning algorithms, in addition to the analytic skills, are especially encouraged to apply. More details about the fellowship are available here. Apply online at https://e-applications.ictp.it/applicant/login/QP19.
  
  
• Quantitative Life Sciences (application deadline 10 July 2019): Candidates should be able to carry out active, independent and multidisciplinary research in quantitative ecology including (but not limited to): stochastic population dynamics, theoretical community ecology, ecological networks, macroecological patterns. Candidates should have a background in statistical physics, applied mathematics, theoretical ecology and/or related disciplines. Candidates with expertise in both data science and modeling/theory are especially encouraged to apply. More details about the fellowship are available here. Apply online at https://e-applications.ictp.it/applicant/login/QP19_2.

The QLS section has a unique international research environment, with about 15 group members (faculty, postdocs, graduate students, and visitors), an intense programme of workshops and conferences, close collaborations with local institutions (SISSA, ICGEB, Trieste University) and internationally renowned research institutions (ENS Paris, EPFL, IPhT, UCSD, NTNU, MPIPKS, Aalto University).

The QLS section has expertise in a broad range of fields including statistical physics of information processing, information theory, statistical learning (mathematical and applied aspects), reinforcement learning, algorithms, stochastic processes and thermodynamics etc. Postdoctoral fellows are encouraged, and supported, to participate in activities in developing countries in order to promote the mission of the ICTP.