A position in the field of planning and scheduling for digital industry
- Povo, Trento
- 44.000 € all'anno
- Contratto
- Full time
FBK is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research center, of which there are twelve totals. Information regarding the research centers, their activities and production is available at .The focuses its research on digital technologies for the various domains in industry (e.g., aerospace, railway, automotive, energy, agriculture, manufacturing, etc.) by creating applications for critical systems, adaptive and autonomous systems, advanc
ed perception, diagnostics and prediction systems. It is involved in multiple European research projects and collaborates with numerous institutions and multinational companies on strategic projects with a high innovation content – including the European Space Agency (ESA) and the Italian Railways Network (RFI).The position is opened by the Unit (PSO Unit) of the of FBK. The Unit carries out basic and applied research, tool development and technology transfer in the field of automated planning, discrete optimization and process scheduling with applications in autonomous robotic systems and flexible manufacturing.FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting gender equality.
To promote the inclusion of disabled staff as per law 68/99, the Foundation is available and interested in evaluating the applications received for technical-scientific domains that do not correspond exactly to this call.Job DescriptionThe open research position is in the field of reinforcement learning for automated planning and scheduling. The STEP-RL project ( ), funded by the ERC, aims at using modern reinforcement learning techniques to synthesize guidance of various forms (e.g. heuristics, pruning rules, macro actions, parameters configurations) for state-of-the-art automated temporal planners.We are looking for exceptional post-doctoral researchers, passionate about the integration of learning and symbolic AI methods: the STEP-RL project will allow the selected candidate to perform full-time curiosity-driven research on the STEP-RL project themes. This is a unique opportunity to pursue basic research in the area of learning for symbolic systems, as the only expected outcomes are top-tier publications and impactful research in the planning and learning communities.The candidate is expected to work in close collaboration with the project PI (Andrea Micheli), as well as other researchers, programmers and students involved in the unit. Moreover, the candidate is expected to help in the supervision of PhD students involved in the ERC project.Job RequirementsThe ideal candidate should have:
- PhD in computer science, mathematics or electronic engineering or equivalent 3yrs research experience;
- Track record of publications in top-tiers journals and conferences;
- Software development skills (preferably Python and/or Rust);
- Ability to carry out an independent research program;
- Ability to work in a collaborative environment and deliver in research projects;
- Good communication and relational skills;
- Oral and written proficiency in English;
- Automated Planning (e.g. PDDL planners);
- Reinforcement Learning;
- Model Checking or other formal verification techniques.
- Detailed CV
- Motivation letter
For further information or technical issues regarding the application, please contact the People Innovation for Research Department at jobs@fbk.eu.
Candidates who pass the preliminary curricular screening will be contacted shortly afterwards for an interview.
Non-selected applicants will be notified of their exclusion at the end of the selection process. Please note that FBK may contact the candidates of the suitability list within a period of 12 months, for the selection processes of similar vacancies.
For reasons of professional transparency, the name of the successful candidate will be published on the FBK website following acceptance of the position, as well as the list of suitable candidates.