Doctoral Candidate/MSc Thesis worker in Modelling of transcranial magnetic stimulation
Aalto University, Department of Electrical Engineering and Automation

Doctoral Candidate/MSc Thesis worker in Modelling of transcranial magnetic stimulation



We seek a highly qualified and motivated individual with an enthusiastic attitude towards high-quality interdisciplinary research to work as a Doctoral Candidate in our research group Electromagnetics in Health Technology. Position is for a period of 1+3 years beginning at the earliest from October 2019.


For students of Aalto University: It is possible to start the project as a Master’s thesis and then continue to doctoral studies.


Project description

The research will be a part of the Academy of Finland funded research project “Transcranial magnetic fingerprinting (TMF)”, led by Assistant Professor Ilkka Laakso. In the project, we will develop a new method, transcranial magnetic fingerprinting (TMF), that is based on physical computer modelling and allows the quantification of several characteristics of the activated neurons, including their location, direction, and sensitivity. TMF enables a new non-invasive way to investigate the function and structure of the brain, their interindividual variations and pathological alterations. Detailed quantitative information of the brain physiology can enable new indicators of brain disorders.


Main responsibilities

The doctoral candidate will participate in one of the following two work packages:

(1) Software development and data analysis: Methods for generation of synthetic response and electric field data (e.g. using Monte-Carlo simulations), development of data analysis methods (e.g. pattern recognition), methods for analysing high-density multi-channel EMG data, and testing the methods for real data.

(2) Experiments and electromagnetic modelling: Performing TMS experiments, development of experimental protocols for TMF, multi-channel EMG recordings and related signal processing, MR imaging and segmentation, and modelling of induced electric fields.

The doctoral candidate will also participate in international collaboration with other research teams, and participate in teaching and instructing MSc/BSc students at Aalto University.



In the evaluation process, attention will be given to the applicant’s grades, research skills, and their potential.

The following are particularly meriting:

  • Strong programming skills in Matlab and other languages such C and Python

  • Knowledge in any of the following: computational electromagnetics, transcranial magnetic stimulation, medical imaging, data mining and/or high-density EMG

  • Very good spoken and written English


How to apply

Application should be submitted in English in a single pdf-file (in the order listed below). The application should be submitted through the eRecruitment system (link 'Apply now!' below) no later than 19.8.2019.


The application must include:

  • Cover/motivation letter

  • CV and publication list

  • Abstract of your MSc thesis

  • Copy of your MSc diploma (if you have already graduated) and a transcript of study records


More information 

For additional information, please contact Assistant Professor Ilkka Laakso ( For recruitment process related questions, please contact HR coordinator Jaana Hänninen (


Aalto University reserves the right for justified reasons to leave the position open or to extend the application period and to consider candidates who have not submitted applications during the application period.


For more information about living in Finland:


Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our campuses are located in Espoo and Helsinki, Finland.

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