Dear all,
   FYI. Professor of Brain-signal Analytics at Aalto University, Finland.
---------- Forwarded message ----------
From: Kaarni Mari <[log in to unmask]>
Date: Wed, May 16, 2018 at 6:17 AM
Subject: Professor of Brain-signal Analytics at Aalto University, Finland
To: "[log in to unmask]" <[log in to unmask]>

*Professor of Brain-signal Analytics
<> *

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 University has
six schools with nearly 11 000 students and more than 400 professors. Our
campuses are located in Espoo and Helsinki, Finland.

We are now looking for:

*Professor of Brain-signal Analytics*
to build his/her research program for making fundamental advances in
science as an integral part of the vibrant scientific community of Aalto

The position will be filled primarily at the Assistant or Associate
Professor level. However, we also welcome applications by outstanding
scientists for Full Professor level appointment.

*Your working environment*

Health and wellbeing is one of the seven key research areas of Aalto
University, and neuroscience and neurotechnology is a strategic focus area
of the School of Science. The continued development of this field is vital
for reaching Aalto’s strategic objectives in scientific excellence and
societal impact. The tenure-track position will be placed in the Department
of Neuroscience and Biomedical Engineering (NBE,
where research methods range from cellular patch-clamp techniques to human
neuroimaging using, e.g., magnetoencephalography (MEG),
electroencephalography (EEG), functional magnetic resonance imaging (fMRI),
near-infrared spectroscopy (NIRS), and navigated transcranial magnetic
stimulation (nTMS) combined with EEG.

NBE and its predecessors are world-renowned for their development of many
of these technologies and their use in systems and cognitive neuroscience.
The most advanced MEG (Elekta/MEGIN Ltd) and TMS (Nexstim Plc) devices are
manufactured by spinoff companies of laboratories that now constitute NBE
(Brain Research Unit of Low Temperature Laboratory and Laboratory of
Biomedical Engineering). Current technology development (funded by ERC, FET
Open, NIH, Academy of Finland and Erkko Foundation) at NBE includes the
development of hybrid MEG–MRI systems, high-resolution MEG based on
optically pumped magnetometers (OPMs), high-definition NIRS, and
multi-locus TMS combined with EEG and fMRI.

NBE hosts and develops a national open-access research infrastructure,
Aalto NeuroImaging (ANI, with 306-channel MEG,
3-tesla f/MRI, nTMS, and a behavioral laboratory. MEG and nTMS equipment
are also available at the hospital campus’s BioMag Laboratory (jointly
owned by Aalto, University of Helsinki and Helsinki University Hospital).

NBE’s experimental research focuses on human sensory and motor functions,
cognition, social interaction, emotional responses, and language
processing. Experimental designs vary from tightly controlled to
naturalistic stimulus designs. Neuroscience at NBE is intimately tied with
the development and application of novel data-analysis methods, including
machine-learning and complex-network analysis approaches that together with
the advanced neuroimaging and -stimulation techniques enable major advances
in the depth and range of neuroscience questions that can be addressed. NBE
has close contacts and collaboration with the University of Helsinki,
Helsinki University Hospital and the MEG and TMS manufacturers, as well as
active collaboration with other departments of Aalto University and other
Finnish universities.

*Your experience and skills*

You have strong motivation and skills to develop and apply advanced
signal-processing and estimation-theoretical methods to analyze data
obtained from the brain by MEG, EEG, fMRI, or NIRS, ideally across multiple
imaging modalities. When appropriate and useful, the signal-analysis
methods can take advantage of sophisticated brain or tissue modeling and a
priori information about brain activity and behavior.

You will strengthen the faculty of NBE with an expertise gained from your
previous innovative brain-signal-analysis studies. You are expected to act
as a teacher in Aalto Master’s Programme in Life Science Technologies. Good
knowledge and experience in neuroscience, neurotechnology, neurology, or
related fields are considered essential for the job. You have excellent
skills in mathematics and modern data-processing methodology and are able
to develop practical and reliable methods that help solve the most urgent
needs in experimental human neuroscience where signals from the brain must
be interpreted for the benefit of science and the patient.

As a professor at Aalto, you are expected to exercise and guide scientific
research, to provide related higher academic education, to follow the
advances of your field, to serve the Aalto University community, and to
take part in societal interaction and international collaboration in your

As an applicant you will be reviewed on the basis of your research,
teaching and academic leadership and activity in scientific community.

*Ready to apply?*

If you want to join our community of game changers please submit your
application through our recruitment system by June 13, 2018.
Please include in your application (pdfs in English)

• Curriculum Vitae
• List of publications (with max 10 most significant publications for this
call highlighted)
• Research statement describing past research and plans for future research
(max two pages)
• Teaching portfolio
• Contacts for References

Please find general instructions for applicants, including language
requirements and guidelines for compiling teaching portfolio and CV at .

*If you wish to hear more about the position, you can contact*
Head of Department, Professor Risto Ilmoniemi, tel. +358 50 5562 964 or, in
recruitment process -related questions, HR-coordinator Mari Kaarni, tel.
+358 50 316 0961. E-mails: [log in to unmask]

In Espoo / Helsinki, 16 May 2018

Apply for this job


Tenure track in Aalto University

The tenure track is open to talented individuals who have excellent
potential for a scientific career. Individuals on the Aalto University
professorial tenure track have the possibility to advance in their career
through regular performance reviews, which take into account their merits
in all areas of their scope of duty. Launched in 2010, the tenure track has
attracted a wide range of international applicants, giving Aalto University
the possibility of recruiting top experts and young research talent to join
the Aalto University community. Read more about the Aalto University tenure
track system at


Best Regards,

Mari Kaarni

HR Coordinator

Aalto University School of Science

Department of Neuroscience and Biomedical Engineering