Doctoral Researcher (Robot learning for perception and control), 1-2 positions (# of pos: 2)

Updated: over 2 years ago
Job Type: FullTime
Deadline: 12 Sep 2021

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en

The Autonomous Mobile Machine Group focuses on solutions for future self-operating mobile working machines and robots (such as forest machines, excavators, forklifts, wheel loaders). We aim at algorithmic innovations, from theory to practice using real-world robot systems. The group research topics include situational awareness, autonomous navigation, and robot learning in challenging environments and uneven terrain; optimal power transmission and motion control for reduced energy consumption and obstacle avoidance for heady duty manipulators; material handling with integrated sensing and control; software development and safety for autonomous mobile working machines.

The group has a strong network in the industry, and we seek to solve demanding scientific problems that do arise from realistic environments and use cases. The group research is funded by European funds, Academy of Finland, Business Finland, direct industrial contracts, and internal funds. We have well equipped and well-funded labs https://research.tuni.fi/iha/  and dynamic community, and large group of Doctoral Researchers and Research Assistants.

Job description

We are looking for primarily two Doctoral Researchers. The work will be related to robot learning for a) robust perception and situational awareness in challenging outdoor environments, b) planning and control for autonomous navigation, and manipulation (not grasping) in non-road applications. The job will be composed of following activities

1)  Main researcher as part of following two projects.

2) Providing workshops to regional industry on the research topics under AI Hub Tampere project https://research.tuni.fi/aihubtampere/

Requirements

We seek a motivated and self-guided person with strong theoretical background who is interested in practical applications.

We offer

The position will be filled for a fixed-term period of 3 years. The planned starting date is 1 Oct 2021 or as mutually agreed. A trial period of six (6) months applies to all our new employees.

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. Please read more about working at Tampere University.

We offer a possibility to be part of the world class research team with a unique view to the major industry players in this field both in Finland and Europe (https://www.more-itn.eu/  and https://www.fima.fi/members/ /).  

Salary
The salary will be based on both the job demand level and the employee's personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of the Doctoral Research is placed on the job demand level 2-3. In addition, employees will receive performance-based salary. Therefore, typically, Doctoral Researcher’s salary in the beginning varies between 2400€-2500€

How to apply

Please submit your application through our online recruitment system. The closing date for applications is 12 September 2021 (at 23.59 EEST / 20.59 UTC). Please write your application and all accompanying documents in English and attach them in PDF format.

Applications should include the following documents:
•    Curriculum Vitae
•    List of publications
•    A letter of motivation, highlighting your achievements and ambition, and the trends you see in research and technology
•    Transcripts of records

Besides basic info, filling in the other entries of the online recruitment system is not necessary. We will mostly consider the above attachments.

For more information please contact

Associate Professor, Group Leader Reza Ghabcheloo, reza.ghabcheloo (at) tuni.fi

Project Manager Jukka Yrjänäinen, jukka.yrjanainen (at) tuni.fi



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