Open positions

Summer internships 2017

Deadline for applications was 07 February 2017. Position descriptions have been archived.

Job offers to successful applicants will be made 28 February 2017.

To read about summer internship opportunities at the Department of Applied Physics, please check out their website.

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Three positions in the Biodesign Finland project

Positions are 9 months, fixed term (starting 03 April 2017). Deadline for applications is 14 February 2017.

Full advert (in Finnish): http://www.aalto.fi/fi/about/careers/jobs/view/1187/

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Postdoctoral Researcher in functional magnetic resonance imaging methodology development

We are looking for a post-doctoral researcher to the Academy of Finland project “Ultra-fast fMRI and fMRI-EEG methods for mapping hemodynamic and neuronal brain responses to naturalistic stimuli”. The work will be done at the Department of Neuroscience and Biomedical Engineering (NBE) of Aalto University School of Science in close collaboration with the Dept. of Electrical Engineering and Automation. The work will be done under the guidance of Prof. Fa-Hsuan Lin.

The aim in the project is to develop fast functional magnetic resonance imaging (fMRI) methods and integrate that with concurrent electroencephalography (EEG) inside the magnet. Furthermore, we will explore how fMRI can be integrated with transcranial magnetic stimulation (TMS) to achieve imaging and intervention at the same experimental setup. These technologies will be applied to study how the human brain reacts to naturalistic and complex stimuli.

An ideal candidate has a good knowledge in some or all of the following areas: methodology and technology for magnetic resonance imaging (pulse sequence programming; RF/DC electronics), electromagnetics, MEG, EEG, TMS, and biomedical signal processing.

Full advert: http://www.aalto.fi/en/about/careers/jobs/view/951/

Ph.D. student in functional magnetic resonance imaging methodology development

The task of the Ph.D. student is to participate the research and guide other students allocated to the project. The Ph.D. student is also expected to write high-quality scientific publications on the research results together with other members of the team.

An ideal candidate has a good knowledge in some or all of the following areas: methodology and technology for magnetic resonance imaging (pulse sequence programming; RF/DC electronics), electromagnetics, MEG, EEG, TMS, and biomedical signal processing.

Full advert: http://www.aalto.fi/en/about/careers/jobs/view/964/

For more information please contact Prof. Fa-Hsuan Lin, email: fa-hsuan.lin [at] aalto [dot] fi

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