Postdoc in Brain–Robot Interfaces for Body-Centric Computing

Job description

We are looking for a well-motivated postdoctoral researcher to join the Body-centric Operating System (BOS) project, funded by the Swedish Foundation for Strategic Research (SSF). The BOS project aims to enable next-generation body-centric computing applications that integrate on-body and in-body sensors with embedded platforms and edge or cloud resources.

In particular, the researcher will contribute to the development of EEG-based brain-computer interface (BCI) technologies. The objective is to design methods for decoding human motor intent and to integrate these capabilities into a demonstrator, where brain activity will be combined with other body signals to control assistive systems such as bionic/robotic hand prototypes. The work will involve the development of deep learning methods for multi-channel EEG time-series analysis, as well as research on representation learning and continual learning for subject-specific adaptation. The position also includes work on model compression and optimization for deployment on resource-constrained hardware, in close collaboration with other BOS partners.

The researcher will also engage in empirical research involving EEG data collection and analysis, software development, and cross-disciplinary collaboration with researchers in robotics, embedded systems, networking, and neuroscience. The position may also involve supervision of students and participation in project coordination and dissemination activities. Candidates should have a strong background in machine learning and signal processing. Demonstrated interest in brain-computer interfaces and/or robotics is highly desirable.

This position offers an opportunity to engage in cutting-edge interdisciplinary research that bridges artificial intelligence, neuroscience, and embedded systems, contributing to the development of novel body-centric technologies for future assistive and interactive applications.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree in computer science, electrical engineering, biomedical engineering, applied physics, or a related field. This eligibility requirement must be met no later than the time the employment decision is made.
• Research expertise in at least one of the following areas: brain–computer interfaces, EEG/biomedical signal processing, machine learning for time-series, or robotics.
• A strong research record with high-quality publications in relevant fields.
• Documented strong programming skills, for example in Python and in deep-learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research, plan and analyze experiments, and document results clearly.
• Excellent knowledge of the English language, such as written and oral skills since communication is essential of this role.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Documented experience with EEG/BCI (data collection, preprocessing, and modelling) and/or intent recognition for human–robot interaction.
• Experience with experimental work involving human participants and handling of multi-modal sensor data (e.g., motion capture, EMG, or other physiological signals).
• Experience with real-time implementations of ML models, or with integrating ML components into robotic or cyber-physical systems.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality.
• Ability to work independently as well as collaboratively within interdisciplinary teams.

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

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To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account (max 2 pages) of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.