Publisher
source

Jens Haueisen

2 months ago

Research Assistant / PhD Position in Biomedical Engineering (EU Researcher) Ilmenau University of Technology in Germany

Degree Level

PhD

Field of study

Biomedical Engineering

Funding

Available

Deadline

Expired

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Country

Germany

University

Ilmenau University of Technology

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Keywords

Biomedical Engineering
Electrical Engineering
Uncertainty Analysis
Digital Twin Technology
Deep Brain Stimulation
Transcranial Magnetic Stimulation
Brain-computer Interface
Finite Element Analysis

About this position

The Department of Computer Science and Automation at Ilmenau University of Technology, Germany, is offering a Research Assistant / PhD position within the Group of Biomedical Engineering (BMT). This opportunity is part of the BRAINET consortium, which aims to revolutionize deep brain stimulation through spatio-temporal Interference Stimulation (stIS). The project focuses on developing skull-implantable stimulation hubs that form a communication network for precise 3D targeting in the brain, enabling semantic information transfer and synchronization for self-adjusting therapeutic stIS. These hubs utilize novel magneto-electrical transducer stacks powered by external magnetic fields and feature nano-modified, compliant electrodes that only touch the brain surface, minimizing invasiveness.

Network formation will be achieved using multiphysics approaches and ionic in-body communication, supported by dedicated microelectronic hardware. The project includes preclinical in-vitro and in-vivo testing to validate the devices and methods, contributing to the advancement of Brain-Computer Interface (BCI) technology. As a PhD researcher, you will be responsible for developing advanced current flow models (digital twins), performing comprehensive uncertainty analyses related to electrical conductivity and tissue geometry, and devising optimization strategies for the placement of new interference stimulation devices.

Applicants should hold a Master's degree in Engineering, preferably in electrical or biomedical engineering, and possess skills in numerical field computation, finite and boundary element methods, transcranial electric stimulation, temporal interference stimulation, polynomial chaos analysis, and optimization techniques. Candidates of any nationality are welcome, provided they have not resided or worked in Germany for more than 12 months in the past 36 months and do not already hold a doctoral degree. The position is full-time and not suitable for part-time employment.

The monthly gross salary is €4,768.12, which includes living and mobility allowances, with additional family and special needs allowances available for eligible candidates according to MSCA guidelines. The university offers 30 days of vacation per year, extra days off on 24 and 31 December, a family-friendly and flexible working model, individual training opportunities, and extensive health and sports programs. Ilmenau University of Technology is recognized for its commitment to gender equality and a respectful, interdisciplinary academic environment.

Applications must be submitted online via the university's job portal by March 1, 2026. The selection process includes a pre-evaluation based on CV, experience, and skills, followed by interviews scheduled for calendar weeks 10 and 14 of 2026. For further information, contact Prof. Jens Haueisen at the university.

Funding details

Available

What's required

Applicants must hold a Master's degree in Engineering, preferably in electrical engineering or biomedical engineering, which entitles them to pursue doctoral studies. Desirable skills include knowledge in numerical field computation, finite and boundary element applications for stationary electric fields, transcranial electric stimulation, temporal interference stimulation, polynomial chaos for conductivity analysis, and Pareto front optimization for electrode configurations. Candidates must not have resided or carried out their main activity in Germany for more than 12 months in the 36 months prior to recruitment, and must not already possess a doctoral degree. Evidence of qualifications must be provided by certificates and references. The position is not suitable for part-time employment.

How to apply

Submit your application online via the provided university job portal. Ensure all required certificates and references are included. Eligible applicants will be pre-selected based on CV, experience, and skills. Short-listed candidates will be invited for interviews in calendar weeks 10 and 14 of 2026.

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