Laboratory of Deep Learning and Bayesian Methods

The Higher School of Economics International Laboratory of Deep Learning and Bayesian Methods in Moscow, Russia invites applications for postdoctoral research positions in the field of Bayesian Deep Learning.

The job involves:

• working under the direct supervision of Prof. Dmitry Vetrov and Dr. Novi Quadrianto
• pursue own research in parallel with working on Laboratory's research projects in three broad areas:

o  Deep Learning

o  Bayesian Methods of Machine Learning: variational inference, Gaussian processes, MCMC methods, graphical models etc.

o  Optimization for Machine Learning

• writing research papers for international peer-reviewed journals and conferences in co-authorship with the members of the Lab
• participation in organization of the events and other contribution to the Lab’s development
• public presentations of the candidate’s own research to the researchers in the field and the broader academic community
• some teaching is encouraged, though not required.

Requirements:

• a PhD from an international research university in such fields as: Computer Science or Mathematics
• a strong background in mathematics, computer science, machine learning
• ability to work in a team,
• fluent English.

General conditions for Post-Doctoral Research positions can be found here. Appointments will be normally made for one year.

A  CV, research statement and two letters of recommendation  should be submitted directly via the online application form by March 15, 2017. Please note that direct applications to the hiring laboratory may not be reviewed.

 
About HSE

HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities. For more information about HSE, please visit our web pages: Higher School of Economics, Big Data and Information Retrieval School or contact Nadia Chirkova directly.

Apply now