As an intern at Romanian Institute of Science and Technology (RIST), you will learn how to do research in machine learning / artificial intelligence, by coding and performing experiments based on state-of-the-art scientific publications or by helping RIST’s scientists to implement new machine learning algorithms.

Topics in machine learning / artificial intelligence:

• Deep neural networks for generating HTML code: automatically generate web pages using deep learning;
• Deep reinforcement learning: train simulated agents to learn to behave adaptively in their environment and compare their performance with what scientists around the world have achieved in these environments;
• Reinforcement learning in spiking neural networks: prepare yourself for the next advances in neuromorphic computing by learning to simulate and train spiking neural networks;
• Program synthesis: implement programs that automatically generate data compressors, which are important building blocks for artificial intelligent systems;

Tutors: Răzvan Florian, Homa Davoudi, Ali Davody, Cristian Ivan.

Other topics:

• Improving and documenting the Thyrix simulator for 2D intelligent agents: improve algorithms used for a 2D physics simulator and / or edit in Latex a book describing the equations and algorithms behind the simulator, in order to allow machine learning scientists to more easily use the simulator in their experiments (tutor: Răzvan Florian);
• Simulating chaotic nonlinear dynamical systems: help parallelize computing simulations that enable new research in this field (tutor: Marius F. Danca);

How to apply: please send to dci@rist.ro a CV, a description of your interests and information such as: your website or github repository; interesting projects you have worked on; prizes in science contests / olympics; specialized online courses you have attended.

More information: www.rist.ro