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. Qualifications
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.
NSU
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 (i.elshanskaya@nsu.ru):
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 (okunev@nsu.ru).
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