2 Postdoc Posts in Big Data Optimization and Machine Learning, University of Edinburgh

Applications are invited for 2 postdoctoral positions in the School of Mathematics at the University of Edinburgh. The positions are available for 12 months, assuming the successful candidates take up post on or before 01 March 2017.
The post holder will become a member of the Big Data Optimization group led by Dr Peter Richtarik, join the Edinburgh Research Group in Optimization, and will have opportunities to interact with the Alan Turing Institute and KAUST.
The ideal candidate will be an enthusiastic and creative individual with a Ph.D. in Mathematics, Computer Science, Optimization, Data Science, Machine Learning, Operations Research, Engineering, or a related field, and a strong track record as evidenced by high quality publications, invited talks and prizes. Expertise in several of the following is desired: optimization/training algorithms, convergence analysis, deep learning, reinforcement learning, randomized/stochastic algorithms, convex analysis, nonconvex optimization, complexity analysis, matrix theory, C++, Python, Julia, Spark, Tensorflow, MPI/Open MP, and high-performance computing.
All applicants must apply online via our vacancy website:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/e...
Please include with your application: a CV (including publication list); a research statement. In addition, please arrange for at least three referees to send letters of recommendation directly to hr-AT-maths.ed.ac.uk by the closing date.
Closing date: 5pm (UK time), Monday 23rd January
Skype interviews will be held during January 25 - 27, 2017. If you have not heard from us by January 31, 2017, please assume that your application has not been successful. For informal enquiries about the post, please contact Dr Peter Richtarik (peter.richtarik-AT-ed.ac.uk).