We are looking for a postdoctoral research associate who will work on machine learning models that allow an artificial agent to develop structured, hierarchical representations of its environment, by interacting with this environment. These models will integrate and develop upon curiosity-based learning, Bayesian theories of deep learning, and reinforcement learning, and will be tested in simulations of physical environments (e.g., a robotic simulator) as well as in purely computational environments.
We welcome candidates with a background in physics who are interested to switch to a machine learning career.
The position is offered for an initial period of 3 years, at the Romanian Institute of Science and Technology (RIST) in Cluj, Romania. The position will be part of the Deep Computational Intelligence group, one of two newly-formed groups in machine learning where about 20 new postdoctoral research associates and research software developers are being hired in 2017.
We are looking for self-motivated, independent, creative scientists, with strong analytical and computational modeling skills. Candidates should have a PhD and a strong publication record.
To apply, send to firstname.lastname@example.org
your CV (indicating your 3 most representative publications), a letter of intent, as well as the names and contact details of at least two references.
The contract will start as soon as the position is filled. Net salary is about 2,000 euros per month, while the cost of living in Cluj is significantly lower than in Western Europe or the USA. The working language is English.
The project, called “Automated software development through abstraction in deep, distributed computational models” (AutoWare), is funded by European structural funds and is led by Dr. Bipin Indurkhya (project director) and Dr. Răzvan Valentin Florian (associate project director).
Cluj hosts Romania’s largest university and boasts a strong, rapidly developing IT industry. Cluj is the main city of Transylvania, which has been named by Lonely Planet as the top region to visit in 2016.