Postdoctoral research position in Multilevel Modeling of Outcome Predictors Following Subthalamic Deep Brain Stimulation in Parkinson’s Disease

7 Jan 2026
Job Information

Organisation/Company

Czech Technical University in Prague

Department

Faculty of Mechanical Engineering

Research Field

Neurosciences » Neuroinformatics

Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)

Positions

Postdoc Positions

Country

Czech Republic

Application Deadline

15 Feb 2026 - 23:59 (Europe/Prague)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Mar 2026

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Reference Number

#3-28

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Czech Technical University in Prague (CTU) offers a fellowship program, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor.

The scholarship applicant must meet the following conditions on the date of application:

• be no more than 7 years since obtaining the first Ph.D. degree,
• Ph.D. studies at a university outside the Czech Republic or have completed at least a one-year working research stay abroad (outside the Czech Republic),
• be an author (co-author) of three or more publications in a journal with IF or CORE A*/A conference paper.

We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s disease. The research will center on identifying robust, interpretable predictors of motor improvement after subthalamic nucleus (STN) DBS, integrating preoperative clinical, motor, neuropsychological, and imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern penalized and hierarchical modeling strategies. The successful candidate will contribute to outcome definition, data analysis, and model development, and will have the opportunity to engage in advanced statistical methods such as dimensionality reduction and Bayesian modeling. This project offers access to a rich, curated clinical dataset and collaboration with leading neurologists, neurosurgeons, and data scientists

Where to apply

E-mail

drimakat@fel.cvut.cz

Requirements

Research Field

Engineering

Education Level

PhD or equivalent

Skills/Qualifications

The ideal candidate holds a PhD in neuroscience, biomedical engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is considered a strong advantage. Proficiency in statistical programming languages such as Python, R, is expected, as is the ability to work with complex clinical datasets and handle missing data thoughtfully.

Languages

ENGLISH

Level

Excellent

Internal Application form(s) needed
20231016-application-form-electronic-signature_4.pdf
English
(41.96 KB - PDF)
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20231016-application-form-hand-signature_4.pdf
English
(41.61 KB - PDF)
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Additional Information
Benefits

Salary 75 000 CZK

Selection process

Applications will be assessed by a committee, based on the documents submitted by applicants. The mentor has a strong vote in the selection process.

To apply for the CTU Global Postdoc Fellowship you need the following documents in English:

• CV, including a list of publications (max. 4 pages). At least three Impact Factor journal publications are expected or CORE A*/A conference paper. Papers accepted for publication yet waiting to be printed, do count if a proof of acceptance is provided.
• Motivation letter (max. 2 pages).
• PhD certificate (copy).
• A cover letter (See Application for CTU Global Postdoc Fellowship form)
• You may attach other documents supporting your application, such as recommendation letters etc.

The job start date is negotiable. 

Additional comments

Mentor: Daniel Novak, Faculty aof Electrical Engineering, Cybernetics, xnovakd1@fel.cvut.cz

cz.linkedin.com/in/novakdaniel

https://scholar.google.com/citations?hl=en&user=sHO9_88AAAAJ&view_op=list_works&sortby=pubdate

https://www.scopus.com/authid/detail.uri?authorId=7103230238

https://www.researchgate.net/profile/Daniel-Novak-4/

https://orcid.org/0000-0001-6996-9344

H-index (WOS) 15

Website for additional job details

https://www.cvut.cz/en/ctu-global-postdoc-fellowship

Work Location(s)

Number of offers available

1

Company/Institute

Czech Technical University in Prague / Faculty of Electrical Engineering

Country

Czech Republic

City

Prague

Postal Code

16627

Street

Technická 2

Geofield

Contact

State/Province

Czech Republic

City

Prague

Website

https://www.cvut.cz/en
https://aid.fel.cvut.cz/projects/#computational-neuroscience

Street

Jugoslávských partyzánů 1580/3

Postal Code

16000

E-Mail

drimakat@fel.cvut.cz

STATUS: EXPIRED

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