Postdoctoral Position in Reinforcement Learning and Planning for Hardware Accelerator Design

Aalto University
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Job Description

The Aalto Robot Learning research group operates in the intersection of artificial intelligence and robotics. We focus on developing methods for reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. For more information, please see: Robot Learning | Aalto University

The Robot Learning research group is seeking a talented Postdoctoral researcher to develop novel reinforcement learning and planning methods. The methods will be used for automating hardware acceleration generation. The project is a collaboration with the hardware accelerator design group at Tampere University. The project aims to create a novel automated accelerator architecture generation tool based on reinforcement learning that starts from high-level program descriptions and generates complete compiler programmable accelerators with desired qualities such as optimized energy-efficiency within a set computational latency. The methods may be also evaluated on our quadruped Boston Dynamics Spot robot with a Spot arm.

The developed methods may be based on one of our focus areas including, but not limited to, reinforcement learning and planning under uncertainty. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.

Outstanding researchers from the areas of Machine Learning, AI, and Robotics and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates will be furthermore given the opportunity to work with undergraduate, M.Sc., and PhD students.

The research group collaborates with research groups in hardware design, construction, computer vision, robotics, mobile heavy machines, human-robot interaction, reinforcement learning, imitation learning, multi-agent systems, under-water vehicles, and robot motion planning. Moreover, one of the PhD students in the research group is located at the Intelligent Autonomous Systems institute at TU Darmstadt, Germany, so there will be ample opportunities for international collaboration.

WE OFFER

The position will be filled for a period of 3 years. The starting date is in January 2023 or as mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. A typical starting salary for a postdoctoral researcher is approximately 3800 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

HOW TO APPLY

Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now! link below. The closing date for applications is December 18th, 2022 (23:59 EET (GMT+2)).

Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application:

  • A letter of motivation and description of your research interests (max. 1 page)
  • Curriculum vitae (including the contact details of two referees)
  • A list of publications as a part of the curriculum vitae
  • PDF copy of your doctoral degree certificate (if already available), MSc and BSc degree certificates, including transcripts of all university doctoral, MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted)

Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary.

ADDITIONAL INFORMATION

For further information, please contact Assistant Professor Joni Pajarinen, joni.pajarinen@aalto.fi. Additional information in recruitment process related questions, please contact HR Coordinator Camilla Hanganpää, camilla.hanganpaa@aalto.fi.

Company Info.

Aalto University

At Aalto, high-quality research, art, education and entrepreneurship are promoted hand in hand. Disciplinary excellence is combined with multidisciplinary activities, engaging both students and the local innovation ecosystem. Our main campus is quickly transforming into an open collaboration hub that encourages encounters between students, researchers, industry, startups and other partners. With an exceptionally strong entrepreneurial community,

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