Aalto University is a new university with over a century of experience. Created from a high-profile merger between three leading universities in Finland—the Helsinki University of Technology, the Helsinki School of Economics, and the University of Art and Design Helsinki—Aalto University opens up new possibilities for strong multi-disciplinary education and research. The university's ambitious goal is to rank among the top universities in the world in its areas of specialization. Aalto has 20,000 students and around 75,000 alumni. The staff of 4,500 includes 300 professors.
Brain Research Unit at O.V. Lounasmaa Laboratory, School of Science, Aalto University is seeking for a
in MEG Signal Analysis for Naturalistic Neuroscience
Brain imaging is moving towards more naturalistic conditions that provide great challenges to signal analysis. Brain Research Unit (BRU, http://ltl.tkk.fi/wiki/BRU) is a pioneer of time-sensitive brain imaging with magnetoencephalography (MEG). We are actively developing methods for analyzing brain activity collected during naturalistic conditions, such as movie viewing, and during dual MEG scanning where MEG is recorded from two interacting participants at the same time; the aim is to learn about the brain basis of social interaction. Some experimental setups are repeated with 3T fMRI.
We are looking for a PhD with a deep interest and skills in neuroscience-related signal analysis; machine-learning experience is appreciated. The candidate will work in a multi-disciplinary group (neuroscience, physics, medicine, psychology) that investigates human systems-level neuroscience, with a special interest in brain dynamics during real-life-like experimental conditions and in settings suitable for two-person neuroscience. See http://ltl.tkk.fi/wiki/BRU/Human_Systems_Neuroscience at the Brain Research Unit (BRU). The research team has an excellent record in training both PhDs and postdoctoral scientists.
The BRU has a state-of-the-art Elekta 306-channel MEG system, and access to a brand-new 3T Siemens MRI scanner at the university campus. Much of the work is done in collaboration with the multidisciplinary aivoAALTO project (www.aivoaalto.fi).
The salary is competitive; it starts around 3300 Euro/month, and it will increase with responsibilities, depending on the performance of the candidate. The position is for 2 years, the work can start as soon as a suitable candidate is found, but no later than June 1, 2012.
To apply for the position, please send an e-mail containing your CV, a summary of your skills, description of your research interests, and a list of publications as a single pdf-file to the Registry Office of Aalto University eval(unescape('%64%6f%63%75%6d%65%6e%74%2e%77%72%69%74%65%28%27%3c%61%20%68%72%65%66%3d%22%6d%61%69%6c%74%6f%3a%72%65%67%69%73%74%72%79%40%61%61%6c%74%6f%2e%66%69%22%3e%72%65%67%69%73%74%72%79%40%61%61%6c%74%6f%2e%66%69%3c%2f%61%3e%27%29%3b')) by April 2nd 2012. Please include names of two established scientists who may be contacted for reference; you may also arrange them to send a letter of reference directly by e-mail to the above address (with reference ‘OVLL postdoc position’).
For further inquiries please contact Academy Prof. Riitta Hari or HR Coordinator Mari Kaarni (recruitment process related questions) e-mail: eval(unescape('%64%6f%63%75%6d%65%6e%74%2e%77%72%69%74%65%28%27%3c%61%20%68%72%65%66%3d%22%6d%61%69%6c%74%6f%3a%66%69%72%73%74%6e%61%6d%65%2e%6c%61%73%74%6e%61%6d%65%40%61%61%6c%74%6f%2e%66%69%22%3e%66%69%72%73%74%6e%61%6d%65%2e%6c%61%73%74%6e%61%6d%65%40%61%61%6c%74%6f%2e%66%69%3c%2f%61%3e%27%29%3b')).
The application materials will not be returned.
Espoo, February 21st, 2012 Aalto University
O.V. Lounasmaa Laboratory, School of Science Aalto University
Deadline:June 1, 2012