Tampere University of Technology (TUT) is an active scientific community of 1,700 employees and 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 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!

Doctoral Student in Machine Automation, Sensor Systems (DSII)

The Doctoral school of Industrial Innovations, DSII, is an established concept of Tampere University of Technology. The key idea of the DSII is that the research questions are industry originated and partially financed by a company. Tampere University of Technology employs doctoral student to carry out the dissertation research. The contract will be made for 4 years and the dissertation should be completed in that time. Research work is supervised by a professor and company representative. The work will be done at Tampere University of Technology and partially at the company.

The Doctoral school of Industrial Innovations offers active community for doctoral students. DSII has monthly follow up meetings, trainings and other activities that support research work and activities are organized with Hermia Group and DEMOLA.
Job description: The doctoral project will focus on research and development of easy-to-install (e.g. retrofittable) sensor systems that are qualified for mining environment and can be linked to added-value IoT systems such as condition monitoring. The developed sensor system should have robust data signal transfer and power management without losing the required high accuracy of the sensor system. Novel and emerging robust wireless and cabled data transfer solutions and structure-integrated sensors will be investigated and developed further. Special care will be taken in multi-machine environments to prevent wireless intra-machine signal transfer from interfering with other machines with similar or identical sensors. The overall tasks of the Doctoral Student will comprise novel sensor system development, designing of the full-scale experiments, model-based embedded sensor network design, measurements in real-time mining machine control set-ups, and dissemination of the results in scientific peer-reviewed journals, international conferences and doctoral network events.

The work will be supervised by Professor Kalevi Huhtala, Professor Jouni Mattila and Sirpa Launis (Sandvik Mining and Rock Technology).
Requirements: The Doctoral Student candidate must hold an applicable higher university degree in Automation or Digital Signal Processing with experience on sensor networks, digital processing, robotics and/or communication protocols. Knowledge on model-based development, real-time control, modelling, simulation and sensor fusion, for example for ROS, is an advance.

The Doctoral Student candidate must have an enquiring mind, enjoy problem-solving and be able to think independently while also being able to work in a team. A good command of English, both in writing and in oral presentations, is mandatory.

The tasks of all doctoral students will also include teaching duties that amount to approximately 5% of their annual working hours, unless there are justified reasons to the contrary.
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. In addition, employees receive performance based salary.
Trial period: Trial period of four (4) months applies.
Other: The position will be filled now for a fixed-term period of four (4) years. Appointment is expected to commence on 1 January 2018 or as mutually agreed.
For more information, please contact: For further information, please contact Prof. Kalevi Huhtala (kalevi.huhtala@tut.fi) or Prof. Jouni Mattila (jouni.mattila@tut.fi).
How to apply: Applications must be submitted by TUT online application form. The closing date for applications is 22 October 2017 (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
- transcript of records master's degree studies.
- a letter of recommendation.
Additional information on attachments to applications.

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