Tampere University of Technology (TUT) is an active scientific community of 1,800 employees and more than 7,800 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!
Tampere University of Technology, the University of Tampere and Tampere University of Applied Sciences are building a unique environment for multidisciplinary, inspirational and high-impact research and education and a hub of expertise in technology, health and society. The new higher education community begins its operations on 1 January 2019. Read more: www.tampere3.fi/en
Tampere University of Technology (TUT) has a strong record of achievement in the fields of Intelligent Machines. These fields can be categorized by their application areas comprising, for example, Artificial intelligence in industrial production, manufacturing and process environments, Robotics (Field Robotics, Industrial Robotics, Social Robotics), Autonomous vehicles and vessels, Smart Machines, Smart City and Smart mobility environments at large.
There are a plethora of core technologies and research domains that are crucial in these application areas. In particular, technologies and methods that contribute to the cognitive capabilities of future systems are in the front row; applied mathematics, computing algorithms, signal processing, machine learning, software architectures, electronics, cybersecurity, distributed connected systems, wireless communication, and automation technologies.
Tampere University of Technology invites applications for 9 tenure track positions in the field of Intelligent Machines. Our focus is in the following research areas:
• Applied mathematics - data science and related mathematical modelling
• Automation and systems engineering – large complex dynamic systems
• Embedded systems – electronics and digital design
• Computing – graphics processing, visualisation
• Signal processing – artificial intelligence, natural language processing
• Software engineering and development - real-time software, cybersecurity
• Communications Engineering – wireless communications, positioning and radar systems
We prefer applicants who can strengthen or expand our research in the current research fields, but exceptional candidates who specialize in enabling technologies that support research on intelligent machines may also be considered. The growing fields of intelligent machines and robotics are semantic modelling, machine connectivity, robot perception, intelligent manipulation, planning, machine learning, inverse mathemathical problems, predictive analytics, artificial intelligence, cognitive technologies, and human-robot interaction, which are also relevant research fields for the open position.
Based on their experience and expertise, the successful candidates will be placed at the level of Assistant Professor (1st term), Assistant Professor (2nd term) or Associate Professor.
The successful candidates are expected to:
All candidates considered for a tenure track position are expected to:
Depending on the tenure track level, we expect the candidate either to have potential for or hold a demonstrated record of securing external research funding and possess excellent academic credentials. We also expect the candidate to have the competence to develop, lead and maintain a high-quality research programme that leads to national and international recognition. We also appreciate experience in education and collaboration activities in research networks and among companies.
For more information on the criteria for tenure track appointments, please go to www.tut.fi/openpositions – Tenure track.
TUT is strengthening its profile in teaching and research to cover the areas that are significant for the pursuit of excellence in intelligent machines research. In Tampere region and Finland there are several major industrial players who benefit from the national top research and with whom TUT maintains strong collaboration.
We also offer assistance for setting up a research group. The extent and conditions of the funding will be discussed with the candidates during the recruitment process.
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. TUT received the European Commission's HR Excellence in Research Award in 2014.
For more information, please go to www.tut.fi – 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 expertise 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. For more information about Tampere area, please check visittampere.fi.
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 on campus, and a comprehensive healthcare system.
The expected start date in Autumn 2018 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.
Candidates may be invited for a video interview during the first stage of the recruitment process. The most potential candidates will be invited to TUT for an interview with the Tenure Track Working Group and to an aptitude assessment. Potential candidates for the level of Associate Professor will also undergo a review by external experts and are required to give a demonstration of their teaching skills.
|For more information, please contact:||
Dean of the Faculty of Natural Sciences Jyrki Vuorinen: Applied mathematics and related fields
Dean of the Faculty of Engineering Sciences Pauli Kuosmanen: Automation and systems engineering and related fields
Dean of the Faculty of Computing and Electrical Engineering Mika Grundström: Embedded systems, signal processing, software engineering, communications engineering and related fields
If you have questions about the recruitment process, please contact HR Specialist Miia Haikonen.
|How to apply:||
Please submit your application through our online recruitment system. The closing date for applications is 4 April 2018 (at 24.00 EEST / 21.00 UTC). Applications and all accompanying documentation should be written in English.
Applications should include the following documents: