Tampere University of Technology (TUT) is an active scientific community of 1,700 employees and more than 8,300 students. The University operates in the form of a foundation and has a long-standing tradition of collaboration with other research institutions and industry. 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!

Tenure Track in Intelligent Machines and Robotics (1-2 positions)

TUT has strong background in certain fields of Intelligent Machines and Robotics, e.g., Field Robotics, Industrial Robotics, Robot Perception, Machine Learning, and Smart Machines and Manufacturing. In the future, we look forward to strengthen these fields and also to expand our research toward emerging robot technologies. The success of the research in all of these areas requires integration of a plethora of enabling technologies, in the future especially cognitive ones, and we anticipate that our widening research on these technologies will give birth to new application areas as well.

Research on Field Robotics paves way towards autonomous cooperative worksites, such as mines, harbors and disaster rescue sites. Current research topics cover real-time control, digital hydraulics for powertrains, active perception, machine learning, and planning of multi-machine navigation/manipulation. Our research is carried out with full-size working machines, and concepts regularly discussed with industrial partners.

Research on Smart Machines and Manufacturing contributes on digitalization of machine systems in e.g. terrestrial, marine, submersible and aerial vehicle, and smart factory applications. The main topics are model-based design, intelligent mechatronics, human-robot interaction, asset integrity management and industrial internet solutions in machines and manufacturing systems. The research environment is provided by Smart Machines and Manufacturing Competence Centre (www.smacc.fi).
Job description: Tampere University of Technology invites applications for 1-2 tenure track positions in the field of:

Intelligent Machines and Robotics

We prefer applicants who can strengthen or expand our research in the current research fields, but also exceptional candidates of enabling technologies that support research on intelligent machines and robotics are considered. The growing fields of intelligent machines and robotics are semantic modelling, machine connectivity, robot perception, intelligent manipulation, planning, machine learning, predictive analytics, artificial intelligence, cognitive technologies, and human-robot interaction, which are also relevant research fields for the open post.

Based on the experience and competence, the successful candidate will be placed at the level of Assistant Professor (1st term), Assistant Professor (2nd term) or Associate Professor.
Requirements: A successful candidate is expected to:
- pursue and supervise scientific research
- actively participate in teaching
- acquire external funding
- participate in the activities of the national and international scientific community
- interact with society, especially with industry
- commit to the strategy of the department and TUT.
The objectives will be set based on the level and previous experience of the candidate.

All candidates considered for a tenure track position are expected to:
- hold an applicable doctoral degree,
- demonstrate the capacity for independent scholarly activity,
- possess the skills and commitment to teaching at all levels (undergraduate, graduate, postgraduate), and
- have the ability to cooperate in a multidisciplinary university environment and with industry.

For more information on the criteria for tenure track appointments, please refer to www.tut.fi/openpositions – Tenure track.
We offer: TUT is profiling in teaching and research on robotics and, in particular, heavy working machinery. We acknowledge that robotics research is expensive and multidisciplinary research field, but we recognize its enormous future potential. Robotics has been identified in the EU Horizon 2020 programme which aims to bring European research and industry to the front line of "robotization". In Tampere region and Finland there are several big industrial players who benefit from the national top research and which whom TUT has strong ongoing collaboration.

TUT offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent campus sports facilities and several restaurants and cafés on campus with staff discounts. Since 2014 TUT holds the European Commission HR Excellence in Research.

For more information, please visit www.tut.fi/en – About TUT – Careers at TUT

Tampere is the largest inland city in the Nordic countries and one of three most rapidly growing regions in Finland. Today, the city is best known for its high tech expertise and extensive know-how in various fields. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society (http://visittampere.fi/).
Salary: The salary will be based on both the job demands and the employee's personal performance in accordance with the Finnish University Salary System. In addition, TUT has implemented bonus systems.

Finland provides one of the most advanced and comprehensive welfare systems in the world. It includes sickness, maternity, paternity and various family benefits, such as child-care services, and a comprehensive healthcare system.

Trial period: The appointment is subject to the satisfactory completion of a trial period of four months.
Other: The expected start date is February 2017 or as mutually agreed upon by both parties. The positions of Assistant Professor and Associate Professor will be filled for a fixed-term period. The length of the fixed-term period will be based on the University’s tenure track system.
For more information, please contact: Dean Pauli Kuosmanen and Professor Ari Visa can provide more information about the position. If you have questions about the recruitment process, please contact HR specialist Päivi Peltonen.

Contact by email: firstname.lastname@tut.fi.
How to apply: Applications must be submitted through the University’s online employment system. The closing date for applications is 14.11.2016 (at 24.00 EET / 22.00 UTC). Applications and all accompanying documentation should be written in English.

Applications should include the following documents:
1. Curriculum Vitae
2. Research plan
3. List of publications
4. Teaching portfolio
5. References