Careers at NSU

Postdoc position in Machine Learning and Big Data

Job Description

Center of Machine Learning and Big Data at Novosibirsk State University (Russia, Novosibirsk) is looking for a highly motivated postdoc to commence in January/August 2019.
We are primarily interested in candidates with research expertise in the following application areas:
  • Deep Learning 
  • Artificial Intelligence;
  • Big Data and Data Mining;
We seek candidates with a commitment to excellence in both applied research and teaching.
First of all, the candidate is expected to develop a nationally recognized research group and also to teach 1-3 courses per semester relevant to his/her area of research and/or based on Center’s needs.

Salary and working time

The salary is $3000 per month before taxes. Initial appointment is on a 1-year renewable contract with a possibility of annual renewal for up to 4 years maximum, subject to annual performance reviews.


  • The ideal candidate must have a Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or related field of study.
  • At least 1+ year of experience in:
    • Machine Learning and/or Statistics with expertise in techniques such as Classification, Regression, Decision Trees, SVMs, Genetic Algorithms, Clustering, Anomaly Detection and/or Time-series analysis.
    • Deep Learning and relevant frameworks, APIs, libraries (e.g, PyTorch, Tensorflow, Keras, OpenCV etc.).
    • Proficiency in programming in at least one of Python, R, C/C++, Java.
  • Strong analytical skills.
  • Ability to work well both independently and in a diverse, global team.


According to the QS experts, Novosibirsk State University is the second best university in Russia. The NSU campus is located in the world-famous scientific center – Akademgorodok. It’s 30 kilometers away from Novosibirsk who is a vibrant 2-million city and the non-official capital of Siberia. So there is no disadvantages of the big city, like noise or smog, but there are all the benefits: excellent clubs and restaurants, theaters, music, opera, museums, different sports, and much more.

How to apply

To apply, please send the following documents to Irina Elshanskaya (
  • Motivation letter (max. two pages)
  • CV including list of publications
  • Degree certificates and academic transcripts
  • Contact details of at least two referees (or letters of recommendation, if already available)
  • Applications are invited immediately and the position will be filled as soon as a suitable candidate is identified.
For further information, kindly contact Prof. Alexey Okunev (