Job Description - Research fellow in reinforcement learning for humanoid robot locomotion (2400003Q)
WHO WE ARE
At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience.
YOUR TEAM
You will be working in a multicultural and multi-disciplinary group, where biomedical, mechanical and electrical engineers, computational scientists, physicists, chemists, biotechnologists and biologists experts collaborate, each with their own expertise, to carry out common research. The Artificial and Mechanical Intelligence research line is coordinated by Daniele Pucci (https://ami.iit.it/) and is seeking to appoint a fellow researcher that focuses on the reinforcement learning for the locomotion of humanoid robots. The selected candidate will contribute to the ergoCub joint laboratory (https://ergocub.eu/) between IIT and INAIL, the National Institute for Insurance against Accidents at Work whose goal is to safeguard workers against physical injuries and occupational diseases. You'll work in taking the humanoid robot control technologies developed at IIT to the next level, in order to address the fundamental societal challenges that INAIL is aiming to solve: to help reduce injuries in the workplace and facilitate the return to work of people injured at the workplace. This goal needs humanoid robots to locomote in unstructured environments populated by humans, and the fellow will contribute towards this perspective. The reinforcement learning methods will also be used for the other research axes of the Artificial and Mechanical Intelligence, namely, to: give humanoid robots the ability to fly (https://ami.iit.it/aerial-humanoid-robotics), and give humanoid robots the ability to help and collaborate with humans via wearables.
Within the team, your main responsibilities will be:
Develop software applications for the Artificial and Mechanical Intelligence cutting-edge robotics researchPrepare proof of concept technologiesSupport the research line activitiesWHAT WOULD MAKE YOU SHINE Master or PhD Degree in Robotics or Artificial Intelligence related topicsKnowledge of at least one of the following software: C++, PythonEnglish language skills (written and oral)EXTRA AWESOME Experience with deploying algorithms onto real robotic systems, with reinforcement Learning or with exteroceptive robot sensorsOutstanding technical and theoretical skillsCreative, proactive and collaborative attitudeCOMPENSATION & BENEFITS Competitive salary for international standardsWide range of staff discountsWHAT'S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us!We like contamination and encourage you to mingle and discover what other people are up to in our labs!If paperwork is not your piece of cake, we got you! There's a specialized team working to help you with that, especially during your relocation!If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations.If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission!If you feel this tickles your appetite for change, do not hesitate and apply!
Please submit your application using the online form and including a detailed CV, the list of (eventual) publications/projects, University transcripts, a cover letter outlining motivation into the project and work environment, names and contact information of at least 2 referees (maximum three).
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