Tampere University of Technology (TUT) is an active scientific community of 2,000 employees and more than 10,000 students. The University operates in the form of a foundation and has a long-standing tradition of collaboration with other research institutions and business life. Many of the fields of research and study represented at the University play a key role in addressing global challenges. Internationality is an inherent part of all the University's activities. Welcome to join us at TUT!

Two Postdoctoral Researchers or Doctoral Students (Autonomous Grasping and Programming by Demonstration)

The department of Intelligent Hydraulics and Automation (IHA) is one of the leading research units in the world of fluid power automation. Research is focused on intelligent mobile machines. IHA’s ambition is to develop new fluid power automation technology, which minimizes the environmental impact in all aspects and improves energy efficiency, productivity and usability of systems. To fulfill this strategy, research work at IHA follows three principles: interdisciplinary research, bridging theory and practice, and cooperation with the industry.
Job description: We are seeking two Postdoctoral Researchers or Doctoral Students for a two-year project.

The research project objective is developing robust and autonomous grasping capabilities for heavy-duty hydraulic manipulators. Programming by demonstration and machine learning techniques will be used to teach robots various grasping tasks and ensure grasp stability. A force-reflected bilateral human-machine interface will also be developed for use in task demonstrations and centralized control and supervision of multi-site working machines. Research findings will be experimentally validated utilizing physical test setups. Intersectional cooperation is scheduled with the project partner Ponsse Ltd. and, in addition, international mobility is foreseen to partner institutes. The position may entail some teaching responsibilities.

IHA has a strong tradition of excellence in energy efficient actuators and hydraulic heavy-duty robotics. IHA’s state-of-the-art heavy-duty robotics research team with more than ten members is available to support the project. If you are up to the challenge, apply now and join the team.
Requirements: The successful candidate must hold a doctoral degree or M.Sc Degree, with a strong publication track record.

The following qualities are preferred:
- expertise in machine learning and programming by demonstration
- expertise in grasping and manipulation
- expertise on control of force-reflected bilateral teleoperation
- expertise in non-linear robotic control theory (backstepping, VDC) and Simulink based real-time implementation
- work experience in multi-disciplinary teams.
We offer: Staff benefits in TUT are comprehensive that include, among others:
- occupational healthcare services
- campus restaurants and cafés with staff discounts
- excellent sports facilities on campus
- flexible working hours.

For more information, please go to www.tut.fi/en/about-tut/careers-at-tut/index.htm
Salary: The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. According to the criteria applied to teaching and research staff the position of a Doctoral Student is placed on the job demands levels 1-4 or post doc on levels 5-6. In addition, employees receive performance based salary.
Trial period: Trial period of four (4) months applies.
Other: The position will start January 1st, 2017, or as mutually agreed upon by both parties. The position will be filled for fixed term until 31.12.2018.
For more information, please contact: Professor Jouni Mattila (jouni.mattila@tut.fi).
How to apply: Applications must be submitted by TUT online application form.

Applications must include (preferably in pdf format):
- CV
- research portfolio
- list of publications
- cover letter describing your motivation and scientific merits for the position.

Applications and all accompanying documentation should be submitted in English.

Closing date for applications is October 20th, 2016.
Additional information on attachments to applications.

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