PhD position in the domain of AI and signal processing algorithms for EEG-based

21 Mar 2026
Job Information

Organisation/Company

KU LEUVEN

Department

Department of Electrical Engineering

Research Field

Engineering » Biomedical engineering
Engineering » Communication engineering
Engineering » Computer engineering
Engineering » Electrical engineering
Engineering » Knowledge engineering

Researcher Profile

First Stage Researcher (R1)

Application Deadline

29 May 2026 - 23:59 (UTC)

Country

Belgium

Type of Contract

Temporary

Job Status

Full-time

Offer Starting Date

1 Oct 2026

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Reference Number

BAP-2026-196

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

No

Offer Description

This job opening covers a PhD position (4 years) at the STADIUS group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) in the frame of a project on 'natural' brain-computer interfaces (BCI) where we aim to identify the temporal encoding of realistic video footage in electroencephalography (EEG) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should have a master's degree in engineering with a background in any of the following domains: electrical or mathematical engineering, biomedical engineering, information technology, artificial intelligence, signal processing (or a similar degree with an equivalent academic level). 
- You have an interest in designing EEG-BCI experiments (expected for about 20% of the PHD)
- You have a solid mathematically-oriented background
- You have a genuine interest in signal processing and machine learning methodology and algorithms
- You obtained good grades in courses related to the topics relevant to this PhD position
- You are able to do independent research (demonstrated by, e.g., excellent grades on a MSc thesis, etc.)
- You have a critical mindset
- You have an excellent proficiency in the English language (both speaking and writing) -A funded PhD scholarship-An exciting interdisciplinary research environment-A KU Leuven affiliation-The possibility to take part in international conferences and collaborations-A competitive salary Interested applicants should submit:- a motivation letter with a statement of skills and research interests- a curriculum vitae- the names and contact information of 2 references
!!! Important note: motivation letters are free format except for 2 required paragraphs:1) Reason(s) why I am interested in this particular position: [write reasons here]2) Facts or examples that demonstrate that I satisfy the listed requirements: [write reasons here]
Earlier applications (before the listed deadline) are encouraged and will be considered as soon as they are received. The position can be closed earlier in case a suitable candidate has been found.

Where to apply

Website

https://www.kuleuven.be/personeel/jobsite/jobs/60644669?hl=en

Requirements

Research Field

Communication sciences

Education Level

Master Degree or equivalent

Research Field

Engineering

Education Level

Master Degree or equivalent

Research Field

Information science

Education Level

Master Degree or equivalent

Research Field

Technology

Education Level

Master Degree or equivalent

Research Field

Neurosciences

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Basic

Research Field

Engineering » Biomedical engineering

Years of Research Experience

None

Additional Information
Benefits

-A funded PhD scholarship-An exciting interdisciplinary research environment-A KU Leuven affiliation-The possibility to take part in international conferences and collaborations-A competitive salary

Eligibility criteria

- You should have a master's degree in engineering with a background in any of the following domains: electrical or mathematical engineering, biomedical engineering, information technology, artificial intelligence, signal processing (or a similar degree with an equivalent academic level). 
- You have an interest in designing EEG-BCI experiments (expected for about 20% of the PHD)
- You have a solid mathematically-oriented background
- You have a genuine interest in signal processing and machine learning methodology and algorithms
- You obtained good grades in courses related to the topics relevant to this PhD position
- You are able to do independent research (demonstrated by, e.g., excellent grades on a MSc thesis, etc.)
- You have a critical mindset
- You have an excellent proficiency in the English language (both speaking and writing)

Selection process

Interested applicants should submit:- a motivation letter with a statement of skills and research interests- a curriculum vitae- the names and contact information of 2 references
!!! Important note: motivation letters are free format except for 2 required paragraphs:1) Reason(s) why I am interested in this particular position: [write reasons here]2) Facts or examples that demonstrate that I satisfy the listed requirements: [write reasons here]
Earlier applications (before the listed deadline) are encouraged and will be considered as soon as they are received. The position can be closed earlier in case a suitable candidate has been found.

Website for additional job details

https://www.kuleuven.be/personeel/jobsite/jobs/60644669?hl=en

Work Location(s)

Number of offers available

1

Company/Institute

KU LEUVEN

Country

Belgium

City

Leuven

Geofield

Contact

City

Leuven

STATUS: EXPIRED

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