Learning in control, graphs and networks
Positions: PhD Candidate
Created: 2023-10-23 Deadline: 2024-03-31
Location: Poland
The team develops neural networks that generate graphs. These solutions are oriented towards the automatic design of structures naturally represented by graphs, such as molecules or energy networks. Known methods for generating graphs are based on an assumed limitation on the size of the graph and are thus not scalable. How to generate arbitrarily large graphs that meet set functional requirements? We are developing methods that address this challenge. https://ideas-ncbr.pl/en/badania/learning-in-control-graphs-and-networks/
PhD Candidate
You will carry out research and development work related to issues such as: deep reinforcement learning; automated trading; graph neural networks; energy grid control; continual learning; other related scientific issues. Your work will be research-focused with minimal teaching responsibilities, teaching a minimum of 60 hours per year.
Must-have requiremets
Programming in Python; knowledge of libraries (at least one): PyTorch, TensorFlow; experience in machine learning; proactive approach to solving scientific problems and issues; strong analytical and critical thinking skills; strong background in mathematics; ability to work in a team; fluency in English.
Nice-to-have requiremets
We would be pleased to see in your application: scientific publications, especially at good ML conferences and/or other signs of outstanding academic performance.
PostDoc
You will carry out research and development work related to issues such as: deep reinforcement learning, automated trading, graph neural networks, energy grid control, continual learning; other related scientific issues. Your work will be research-focused with minimal teaching responsibilities: teaching a minimum of 60 hours per year.
Must-have requiremets
Programming in Phyton, fluent knowledge of libraries (at least) one: PyTorch, TensorFlow, research experience in machine learning including publications at ML conferences/journals, proactive approach to solving scientific problems and issues, strong analytical and critical thinking skills, strong background in mathematics, ability to work in a team, fluency in English.
Nice-to-have requiremets
We would be pleased to see in your application: references with min. 1 contact to person, who can recommend you.
Contact: Paweł Wawrzyński, PhD, DSc (phd [ at ] ideas-ncbr.pl)
Project's lab:
IDEAS NCBR Sp. z o.o. is a research and development centre operating in the field of artificial intelligence and digital economy, whose mission is to support the development of these technologies in Poland by creating a platform that connects the academic and business environments. IDEAS NCBR Sp. z o.o. is a part of the National Center for Research and Development (NCBR Group). Our goal is to build in Poland the largest, friendly to conduct innovative research platform, to educate a new generation of scientists focused on development of algorithms and their subsequent practical application, commercialization in the industry, finance, medicine and other branches of the economy. At IDEAS NCBR, we are constantly on the lookout for new talent. If you are a student or graduate of Mathematics, Computer Science, Information and Communication Technology or a related discipline and would like to pursue a career in research, then share your plans with us.
See lab's page