Postdoctoral Fellow in Magnetoencephalographic (MEG) Technology

The general requirements for the postdoctoral fellowship positions are the following:
●      Candidates must hold a recent PhD in the field of electrical engineering, computer science, applied physics, applied mathematics or neuroscience awarded no later than 2017 by an internationally recognized university.
●       Solid  experience of working in one of the following areas: signal processing, machine learning, optical magnetometry, magnetic shielding, neurophysiology or related areas all proven by the appropriate publication record in peer-reviewed international journals
●      Solid mathematical background and good programming skills (Python, Matlab, C\C++)along with a strong interest in neurophysiology and its cognitive and  clinical applications, excellent communication and team-working skills, enthusiasm and great commitment to research;
●       Fluent English is an obligatory condition as research and other activities are conducted in English. Knowledge of Russian is not required but the willingness to learn the basics is a plus;

The position involves:
●      working under the direct supervision of professor Alexei Ossatdchi, Director of the Center for Bioelectric Interfaces and the PI of the MEG Group
●      participants are encouraged to pursue their own research along with working on MEG group research projects such as:
o  Cortical traveling waves centered  inverse modeling for cognitive and clinical (epilepsy) applications
o  Analysis of interictal datasets of actual patients in the partner clinics
o  Phase-shift invariant model-based functional connectivity assessment
o  OPM system and sensors design in collaboration with a leading Russian physics institute
o  Wearable MEG system design based on OPM or Ferrite-garnet fluxgate magnetometers
o  Real-time applications of MEG
o  Speech decoding
●      writing research papers for international top peer-reviewed journals in co-authorship with the members of the Institute of Cognitive Neuroscience;
●      participation in the events of the Institute of Cognitive Neuroscience and other contribution to the MEG group’s development;
●      public presentations of candidate’s own research to the academic community;
●      While some teaching is encouraged, it is not required.

Selected Publications:

Kleeva D, Soghoyan G, Komoltsev I, Sinkin M, Ossadtchi A. Fast parametric curve matching (FPCM) for automatic spike detection, 2022, Journal of Neural Engineering, 2022,https://iopscience.iop.org/article/10.1088/1741-2552/ac682a

Kuznetsova, A., Nurislamova, Y., & Ossadtchi, A. Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources. NeuroImage, 2020, 29.12.20 (импакт фактор издания 5,902) doi.org/10.1016/j.neuroimage.2020.117677

Ossadtchi, A., Altukhov, D., & Jerbi, K. (2018). Phase shift invariant imaging of coherent sources (PSIICOS) from MEG data. NeuroImage, 183, 950-971.

Koshev, N., Butorina, A., Skidchenko, E., Kuzmichev, A., Ossadtchi, A., Ostras, M. & Vetoshko, P. (2021). Evolution of MEG: a first MEG-feasible fluxgate magnetometer, Human brain mapping, https://onlinelibrary.wiley.com/doi/10.1002/hbm.25582?af=R

Petrenko, M. V., Dmitriev, S. P., Pazgalev, A. S., Ossadtchi, A. E., & Vershovskii, A. K. (2021). Towards the non-zero field cesium magnetic sensor array for magnetoencephalography. IEEE Sensors Journal, https://ieeexplore.ieee.org/document/9455403

Gorin, A., Klucharev, V., Ossadtchi, A., Zubarev, I., Moiseeva, V., & Shestakova, A. (2021). MEG signatures of long-term effects of agreement and disagreement with the majority. Scientific reports, 11(1), 1-10, https://www.nature.com/articles/s41598-021-82670-x

Chirkov, Valerii, Anna Kryuchkova, Alexandra Koptelova, Tatiana Stroganova, Alexandra Kuznetsova, Daria Kleeva, Alexei Ossadtchi, and Tommaso Fedele. "Data-driven approach for the delineation of the irritative zone in epilepsy in MEG." PloS one 17, no. 10 (2022): e0275063.

Conditions

Appointments are made for one year. Postdoctoral fellows have an opportunity of renewal of the contract (no more than two times).

HSE University offers postdoctoral fellows a competitive salary, the standard medical insurance plan, a working space equipped with a computer and free Internet access at the University.

The Institute of Cognitive Neuroscience offers access to its database, necessary hardware, software resources and office facilities.

Application Process

Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship@hse.ru before the application deadline. Please note that direct applications to the hiringInstitute of Cognitive Neuroscience may not be reviewed.

Read more about the application process here.

The deadline for the applications is January 31, 2023.

Apply now

For more information:
-         about Postdoctoral Fellowship -Frequently Asked Questions;
-         about HSE university –official web-site
-         about the Institute of Cognitive Neuroscience – official web-site of the Institute of Cognitive Neuroscience or contact vmoiseeva@hse.ru directly;
-         about international specialists' life in Moscow -International Faculty Support.

If you have any additional questions, feel free to contact the International Faculty Recruitment Office at fellowship@hse.ru