Fetal MEG with optically pumped magnetometers
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Fetal MEG with optically pumped magnetometers
Fetal MEG with optically pumped magnetometers
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 May 2026 or later. You can submit your application via the link under 'how to apply'.
Title:
Fetal MEG with optically pumped magnetometers
Research area and project description
This Lundbeck Foundation-funded project aims to develop OPMs for measuring fetal MEG into a robust technique and investigate the beginnings of sensory responses in the human brain. The project will involve close collaboration with Lars Henning Pedersen, our clinical partner at Aarhus University and Ana Namburete, an ultrasound image processing expert at the University of Oxford.
The project will make use of the CFIN’s new 96-sensor QuSpin Neuro-1 OPM-MEG system, along with computer-controlled visual and auditory stimulus presentation. The PhD student will also work with data from state-of-the-art fetal ultrasound imaging systems. The Center’s resources include a high-performance computing cluster.
The project will consist of:
Applicants to the PhD position must have a Master’s degree (120 ECTS) in biomedical engineering, electrical engineering, neuroscience, or a related field (if not yet formally awarded, all requirements for the degree should be fulfilled by the start date).
The place of employment is Aarhus University, and the place of work is Center of Functionally Integrative Neuroscience, Universitetsbyen 3, Building 1710, 8000 Aarhus C, Denmark.
Contacts
Applicants seeking further information regarding the PhD position are invited to contact:
Please follow this link to submit your application.
Application deadline is 23 March 2026 at 23:59 CET.
Preferred starting date is 1 May 2026.
Please note:
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 May 2026 or later. You can submit your application via the link under 'how to apply'.
Title:
Fetal MEG with optically pumped magnetometers
Research area and project description
This Lundbeck Foundation-funded project aims to develop OPMs for measuring fetal MEG into a robust technique and investigate the beginnings of sensory responses in the human brain. The project will involve close collaboration with Lars Henning Pedersen, our clinical partner at Aarhus University and Ana Namburete, an ultrasound image processing expert at the University of Oxford.
The project will make use of the CFIN’s new 96-sensor QuSpin Neuro-1 OPM-MEG system, along with computer-controlled visual and auditory stimulus presentation. The PhD student will also work with data from state-of-the-art fetal ultrasound imaging systems. The Center’s resources include a high-performance computing cluster.
The project will consist of:
- Designing novel stimulus paradigms for evoking fetal auditory and/or visual responses
- Executing fetal MEG measurements with OPMs
- Analyzing resulting fetal OPM-MEG data
- Advanced signal processing using individualized models derived from 3D ultrasound and machine learning techniqies to denoise OPM data
- Independent research of high international quality, including publication, presentation at conferences, and contribution to future grant applications.
- Project description. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Applicants to the PhD position must have a Master’s degree (120 ECTS) in biomedical engineering, electrical engineering, neuroscience, or a related field (if not yet formally awarded, all requirements for the degree should be fulfilled by the start date).
- Strong Python programming skills
- Strong interest in translational research and developmental neuroscience
- Good interpersonal skills, inclusive and collaborative mindset, and able to contribute to a positive work environment.
- Fluency in oral and written English
- Experience with MEG or EEG signal processing
- Background in machine learning
The place of employment is Aarhus University, and the place of work is Center of Functionally Integrative Neuroscience, Universitetsbyen 3, Building 1710, 8000 Aarhus C, Denmark.
Contacts
Applicants seeking further information regarding the PhD position are invited to contact:
- Associate Professor Kaare Mikkelsen, mikkelsen.kaare@ece.au.dk (main supervisor)
- Professor Sarang Dalal, sarang@cfin.au.dk (co-supervisor)
Please follow this link to submit your application.
Application deadline is 23 March 2026 at 23:59 CET.
Preferred starting date is 1 May 2026.
Please note:
- Only documents received prior to the application deadline will be evaluated. Thus, documents sent after deadline will not be taken into account.
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.