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!
The Faculty of Engineering Sciences is the only purely technology-oriented faculty at Tampere University of Technology. The Faculty offers high-quality education leading towards bachelor's, master's and postgraduate degrees. The Faculty administers one bachelor's degree programme, three master’s degree programmes that are conducted in Finnish, two international master's degree programmes, and one doctoral programme.
Laboratories in the Faculty include the Laboratory of Automation and Hydraulic Engineering, the Laboratory of Mechanical Engineering and Industrial Systems, and the Laboratory of Materials Science. In addition to the high-level basic research in the fields of the laboratories, the Faculty is famous of its strong collaboration with industry.
Novel Predictive Analytics Technologies for Future Maintenance Business (OPENS, 2016-2019) is a Tekes project funded by Tekes and industrial companies. It is a parallel research project of TUT/Department of Intelligent Hydraulics and Åbo Akademi/Department of Information Technologies (IT)/Embedded Systems Laboratory (ESlab). The project belongs to Industrial Internet program of Tekes. The research project will create added value from Big data and develop new intelligent and efficient analysis methods enabling new digital business solutions and services. The objective is to develop methods for fault detection and identification as well as predicting the future behaviour of industrial machine systems (e.g. elevators, diesel engines, forest machinery). Furthermore, aim is to utilise digital twins as domain knowledge together with the collected data to create robust analytics. The developed methods will be tested and verified using the data collected from the machine systems of industrial partners and the test systems of the universities.
In the project described above, the fundamental task of the doctoral student is to study and develop methods for efficient and robust diagnostics and analytics of industrial machinery. Aim is to combine the information of digital twins with the collected data. Therefore, in this position, understanding of physical modelling and creation of these models is essential together with the analytics skills, i.e. combining mechanical/process engineering with data analytics.
In OPENS project, frequent meetings with research partner Åbo Akademi and industrial partners will be held. The validation of the developed methods involves experiments both in universities and companies. The overall PhD study will be a combination of study done in OPENS project and other research project(s) focused on analytics of industrial systems.
The work will be supervised by Professor Kalevi Huhtala and Research Fellow Tomi Krogerus. The position will be located at the Laboratory of Automation and Hydraulic Engineering at TUT.
The candidate should hold MSc degree in a suitable field (Automation, Signal Processing, Information Sciencies etc.).
A theoretically oriented, problem-solving mind with experience of data analytics, and simulation and modelling of physical systems definitely makes life easier with this job. Moreover, a good command in programming with R, Python, Matlab is a necessity. Good team working skills are appreciated.
Finally, the doctoral student usually has assisting teaching duties amounting approximately to 5% of the annual working hours.
We offer candidates the opportunity to join an agile and international research community at the Laboratory of Automation and Hydraulics which has a strong commitment to industrial collaboration at the local, national and global levels.
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
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. In addition, employees receive performance based salary.
Trial period of four (4) months applies.
The position will be filled now for a fixed-term period. Appointment is expected to commence on 1 April 2018 or as mutually agreed.
|For more information, please contact:||
For further information, please contact Research Fellow Tomi Krogerus (email@example.com).
|How to apply:||
Applications must be submitted by TUT online application form. The closing date for applications is 8 March 2018 (23:59 EEST (GMT+3)). Applications and all accompanying documentation must be in English.
The application should include a letter of motivation (max. one A4 page), CV, publication list, a letter of recommendation and transcript of record (master's degree studies).
Additional information on attachments to applications.