3 postdoctoral research associate positions - machine learning approaches to program synthesis / induction / visualization

04 April 2017


Three postdoctoral research associate positions are available within a EU-funded project. The postdoctoral research associates will study, using machine learning approaches, program synthesis / induction and software visualization.

The positions are offered for up to 3.5 years, at the Romanian Institute of Science and Technology (RIST) in Cluj, Romania. The positions are 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 this year.

The positions correspond to the following topics:

1. Studying artificial intelligent agents that interact directly with computer and computer networks, learning to automatically control the computers and to generate software based on a semantic understanding of how computers work. This will be based on machine learning models that allow artificial agents to develop structured, hierarchical representations of their environment, by interacting with this environment. These models may integrate and develop upon curiosity-based learningprobabilistic theories of deep learningrepresentation learning, and deep reinforcement learning. Designing systems that automatically generate software. Position code: AutoWare-PD-C. Starting date: as soon as possible.

2. Studying machine learning approaches to program synthesis or induction, including ones that leverage "big code" - the large quantities of open source software available on the internet. Designing systems that automatically generate software. Position code: AutoWare-PD-D. Starting date: January, 2018.

3. Studying machine learning approaches to program synthesis, induction, and visualization, including ones that leverage "big code". Designing systems that assist software developers. Position code: AutoWare-PD-E. Starting date: January, 2018.

We are looking for self-motivated, independent, creative scientists, with strong analytical and computational modeling skills. Candidates should have a PhD, preferably in machine learning, computer science, computational physics or related fields. We welcome candidates with no prior experience in machine learning. Candidates must have a strong publication record.  

To apply, send to dci@rist.ro your CV, including a list of publications (indicating your 3 most representative publications) and the names and contact details of at least two references. Please mention the position code.

Net salary is 1,900-2,300 euros per month, while 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). 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 through the Competitiveness Operational Programme (POC 2014-2020), and is led by Dr. Bipin Indurkhya (project director) and Dr. Răzvan Valentin Florian (associate project director). The project is expected to spin off a startup, and the candidates will have the opportunity to be part of this startup.

Cluj hosts Romania’s largest university and boasts a 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.

Cluj is Europe's friendliest city for foreigners, according to a study by the UK Office of National Statistics. Romania is no. 16 in the Internations best expat destinations of 2016, before Germany, USA, Switzerland, UK, and France. About 1100 French citizens, 800 Italian citizens and 500 German citizens live in Cluj (source). People living in Cluj are more satisfied with their city than those living in London, Paris, Berlin, Amsterdam, Madrid, Barcelona or Rome, according to a survey of the European Commission. Cluj has an international airport with flights to more than 30 European destinations.

More information about Cluj: