The Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointment will be until September 2020.
The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group.
The positions will be part of the Machine Learning and Optimization group, which is performing research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry.
The open position will focus on different and overlapping aspects of the project.
- Information Geometric Methods for Natural Language Processing. The postdoctoral researcher will contribute towards the design, implementation, and evaluation of algorithms for natural language processing based on information geometric methods. In particular the research will focus on novel algorithms for word embedding and sentiment analysis, able to explicitly take into account the geometry of the statistical model used to estimate the conditional probabilities of the context given a central word.
- Information Geometric Methods for Audio Generation. The postdoctoral researcher will contribute towards the design, implementation, and evaluation of algorithms for audio generation based on information geometric methods. In particular the research will focus on audio encoding and decoding, using variational methods, able to explicitly take into account the geometry of the statistical model associated to the latent variables.
- Implementation of Deep Learning Applications. The postdoctoral researcher will contribute towards the implementation of two selected demos based on deep learning algorithms implemented in the project. The purpose of the demo will be to evaluate the performance of selected algorithms over different inference tasks in the field of image analysis / natural language processing and audio generation.
- PhD in machine learning, theoretical computer science, stochastic optimization, statistics, applied mathematics, including fields such as manifold optimization, differential geometry, statistical mechanics, and related fields
- Strong publication record
- Strong analytical skills, such as problem solving and logical thinking
- Enthusiasm to work in a multidisciplinary and international research environment
- Good written and oral communication skills in English
Knowledge in Machine Learning is helpful, but not strictly mandatory. Doctoral students close to the competition of their thesis will also be considered.
The positions are available immediately. Applications will be reviewed as they are received.
RIST offers competitive salaries and top-level working conditions. The net salary for these positions will be around 2.200 euro, based on new tax incentives for research and development activities in Romania. The cost of living in Cluj is significantly lower than in Western Europe or the USA (e.g., it is 1/3 of the cost of living in London, UK).
How to Apply
In order to apply to this position, the candidate should send an email to email@example.com, mentioning in the subject of the email “DeepRiemann Postdoc Application”. The email should include among the attachments:
- A cover letter
- A complete CV with full list of publications
- A short research statement (max 3 pages), which describes your research interests and explain why your skills, knowledge and experience makes you a suitable candidate for one or more of the open positions
- The pdfs of 2 selected publications
- Name and contact information of up to 3 referees, which will be contacted directly by the institute for a reference letter
About the Institute
The Romanian Institute of Science and Technology is a non-governmental, not-for-profit, independent research institute, founded in 2009, with the purpose of offering scientists a place to conduct research in Romania with top working conditions, comparable to those you can find in western Europe.
The institute is located in Cluj-Napoca, in the heart of Transylvania, which has been named by Lonely Planet as the top region to visit in 2016. Cluj is a welcoming and innovative city, recently listed as one of the major tech hubs (with a 9% growth per year for IT industry). Cluj has 12 universities, over 70k students every year, and an extremely vibrant startup scene, which has recently named the Silicon Valley of Transylvania.
Cluj is Europe’s friendliest city for foreigners, according to a study by the UK Office of National Statistics, and Romania is no. 16 in the Internations best expat destinations of 2016. About 1100 French citizens, 800 Italian citizens and 500 German citizens live in Cluj (source). The city has an international airport, only 8km away from the city center, with flights to more than 30 European destinations.
We are looking forward to hearing from you!