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!

Doctoral Student (3D Mathematical Modelling and Imaging)

The research team, where the Doctoral Student position will be placed, is based at the Laboratory of Mathematics, Tampere University of Technology. We focus on inverse problems and several of their applications, varying from microscale biology to understanding phenomena at galactic scales. For general information about the Inversion Group at Laboratory of Mathematics, TUT, please refer to our webpage: http://math.tut.fi/inversegroup/
Job description: We are seeking for a doctoral student to support our research group in 3D mathematical modelling and imaging. The focus will be on the remote sensing applications of biomedical engineering and geoscience.

We would appreciate knowledge in the following fields (three or more):

1. Maxwell's equations.
2. Biomedical and/or geophysical engineering, e.g., modelling of quasi-static biopotential fields and/or waveform radar signals.
3. Finite element method.
4. 3D mesh generation and editing software, realistic domains.
5. Matlab and C++ programming.
6. High-performance computing.

The Laboratory of Mathematics, Tampere University of Technology, will be the host institute of the position. The working period can include a secondment in a collaborating institute. The project will also be supported by the Laboratory of Pervasive Computing, TUT, and other project collaborators. Suitable persons to supervise the thesis work will be decided later.
Requirements: The position is especially suitable for candidates interested in applied mathematics, numerical methods and biomedical and/or geophysical engineering. The applicants should have graduated in a field relevant to the research area. Good English language and scientific writing skills are essential. The ability to work, cooperate and communicate in a multidisciplinary science team and to interact with research partners is important.
We offer: We offer the successful candidate fully funded two+two-year positions as Doctoral Students. We offer you high-quality supervision and the freedom to develop your ideas in a supportive and inspirational research environment. We are proud that with the extensive academic and departmental support, our students have an excellent track record of successfully completing their doctoral degrees.
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 level 1-4. In addition, employees receive performance based salary.
Trial period: Trial period of 4 months applies for all new employees.
Other: The duration of the position will be 24 + 24 months. The second 24-month period will be granted if significant progress has been made after the first one.

The starting date will be in November 2017 – January 2018.

For more information about the doctoral programme and adimissions please go to: http://www.tut.fi/en/admissions/doctoral-studies-phd/engineering-and-natural-sciences/index.htm

For more information, please contact: Assistant Professor (tenure track), Mr. Sampsa Pursiainen, sampsa.pursiainen@tut.fi.
How to apply: Applications must be submitted in English by TUT online application form. The open position will be filled as soon as a suitable candidate is found.

All applications must be enclosed with the following:
- CV (including list of publications if any)
- cover letter
- a transcript of University study records

All attachments should preferably be in pdf format.

Closing date for applications is on 31.10.2017
Additional information on attachments to applications.