- Full or Part Time
- Chmielna 69, Warszawa, Polska
- Hybrid Remote
- With Professional Experience
- 10/13/23
- deep reinforcement learning,
- automated trading,
- graph neural networks,
- energy grid control,
- continual learning,
- other related scientific issues.
- teaching a minimum of 60 hours per year.
- 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.
- references with min. 1 contact to person, who can recommend you.
- stable employment based on a fixed-term contract (2 years) with the possibility of its extension for another 9 months,
- working with high-level scientific staff in an international environment;
- flexible working hours in a hybrid system;
- private medical care;
- participation in the Medicover Benefits program and co-financing tickets for cultural events;
- real influence on the creation of the company's structure and culture;
- remuneration: PLN 15,700 gross;
- an innovation bonus in the form of a share in the benefits from the future commercialisation of the research project results as additional remuneration. The bonus, depending on the model adopted for the commercialisation of the results of the research project, may take the form of:
- entitlement to a share of IDEAS NCBR's income from the commercialisation of the results of the work (in particular in the form of licences or disposal of intellectual property rights) or,
- entitlement to subscribe for shares or stocks in a spin-out company commercialising such solutions,
- participation in scientific research on artificial intelligence in Poland and for international projects,
- specialised trainings or field schools,
- tools necessary for work: mobile phone, laptop etc.
- CV with the list of publications and description of the scientific achievements,
- motivation letter - a summary of professional accomplishments, including the description of research interests, achievements, research goals,
- copy of the diploma/diplomas confirming education.
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POSTDOC - Reinforcement learning, graphs and automated trading - Warsaw, Polska - IDEAS NCBR
Opis
POSTDOC - Reinforcement learning, graphs and automated trading at IDEAS NCBR | softgarden
View job here
POSTDOC - Reinforcement learning, graphs and automated trading
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 by applying for this position. As a team member, you will have the opportunity to work with many authorities in the field of artificial intelligence in the team led by Paweł Wawrzyński, PhD, DSc. We focus on the scientific development of our employees and the practical application of research results.
DESCRIPTION OF YOUR FUTURE RESPONSIBILITIES:
You will carry out research and development work related to issues such as:
Your work will be research-focused with minimal teaching responsibilities:
THE KNOWLEDGE AND SKILLS WE ARE LOOKING FOR:
We would be pleased to see in your application:
WE OFFER:
PLEASE ATTACH THE FOLLOWING DOCUMENTS WHEN APPLYING:
At the next stage of the recruitment process we will ask to provide a research project description prepared accordingly to our guideline; the guideline is available at this link.
Further we will ask also to send us the contact details (name, email address, telephone no.) to two persons who would be keen to provide the references.
APPLICATION
The set of required documents should be sent electronically using the "Apply online" button.
Please be informed that only candidate applications sent with above listed documents will be analyzed.
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