21/07/2021

  • NAME DER EINRICHTUNG
    Nencki Institute of Experimental Biology
  • ZIELLAND
    Poland
  • TYP DER FÖRDERUNG
    Funding
  • BEWERBUNGSFRIST
    18/08/2021
  • FORSCHUNGSBEREICH
    Natural sciences
  • KARRIERESTUFE
    First Stage Researcher (R1) (Up to the point of PhD)

Beschreibung

Outline

 

Position in the project:

PhD student

Scientific discipline:

Neuroscience

Job type (employment contract/stipend):

Stipend

Number of job offers:

1

Remuneration/stipend amount/month:

4 500 PLN/month (ca. 1 000 EUR/month) - 26 months

Position starts on:

October 1, 2021

Maximum period of contract/stipend agreement:

26 months

Institution:

Nencki Institute of Experimental Biology, Polish Academy of Sciences

Project leaders:

Leszek Kaczmarek and Ewelina Knapska (Braincity directors)

Jan Kamiński (Laboratory of Neurophysiology of Mind)

Project title:

Nencki-EMBL Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY

Project is carried out within the MAB/IRA programme of the Foundation for Polish Science

Projects description:

Using machine learning in optimalization of diagnosis of psychiatric disorders

Psychiatric disorders such as depression, schizophrenia or anxiety disorders are a key and constantly growing problem in the modern society. However, medical diagnosis of psychiatric disorders is still based on medical history and interviews and its accuracy depends on doctor’s experience. Moreover, there are no objective measures that would determine what pharmacological treatment should be applied. Instead, the treatment is often selected through old-fashioned trial and error. As a consequence, providing patient with well-targeted treatment is postponed in time.

 

Aim: The main goal of the project is to apply machine learning methods using electrophysiological data recorded from human brain in order to optimize psychiatric diagnosis. Creating an algorithm for diagnosis of psychiatric disorders will be a direct outcome of this project. Advanced EEG signal data analysis will be used (such as Independent Component Analysis, Generalized Eigendecomposition, Multivariate cross-frequency coupling). The results of these analyses will be later used for trainings of machine learning algorithms in order to support diagnosis of psychiatric disorders and to predict treatment efficacy in patients suffering from psychiatric disorders.

Key responsibilities include:

  • Planning and conducting experimental work
  • Data analysis
  • Manuscript preparation

Profile of candidates/requirements:

  • Master’s in Psychology, Biology, Computer Sciences or similar.
  • Enthusiasm and motivation for scientific work
  • Fluency in English
  • Programming skills: MATLAB or Python
  • Advanced EEG data analysis skills (Independent Component Analysis, Generalized Eigendecomposition, Multivariate cross-frequency coupling)
  • Familiarity with Machine Learning

Required documents:

  1. Cover letter
  2. Copies of diplomas
  3. Copies of documents confirming the course of studies
  4. Curriculum vitae including a description of scientific and professional achievements and list of publications
  5. Copies of documents confirming the scientific or professional achievements
  6. Consent to the processing of personal data for the purpose of recruitment
  7. Optionally opinion of a researcher or academic teacher holding at least the academic degree of PhD (doctor) concerning the candidate and his / her scientific activity

We offer:

  • Full-time stipend in the top-ranked research institute in Poland.
  • Access to modern equipment and support from other experienced researchers.
  • Possibility for extensive interdisciplinary collaborations within the team and in the Institute, as well as international collaborations with Academia

Please submit the following documents to:

http://warsaw4phd.eu/register.php (please apply from August 4, 2021)

Application deadline:

18.08.2021

For more details about the position please contact:

j.kaminski@nencki.edu.pl

 

Mehr Information

Disclaimer:

The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.