⛔ This position is no longer available.
University: University of Marburg
Country: Germany
Deadline: Not specified
Fields: neuroscience, neuroimaging, neurostimulation, psychology, engineering
Are you passionate about advancing our understanding of the human brain through technology, and eager to work at the intersection of neuroscience, engineering, and psychology?
If you are seeking a dynamic research environment where you can make a significant impact on the future of neuroimaging and neurostimulation, the University of Marburg in Germany may offer the perfect opportunity. The university is currently searching for a highly motivated team member to join a cutting-edge lab focused on integrating hands-on experimentation with the latest in computational neuroscience and AI. This is an exciting chance to contribute to pioneering research that bridges clinical application and experimental innovation.
About the University or Research Institute
The University of Marburg (Philipps-Universität Marburg) is one of Germany’s oldest and most respected institutions, founded in 1527. Located in the picturesque city of Marburg, the university has a long-standing tradition of excellence in research and teaching, particularly in the life sciences, medicine, and psychology. The campus fosters a collaborative academic environment, with close ties between its faculties and local clinical centers. This integration provides students and researchers with access to state-of-the-art facilities and a vibrant, international academic community. Germany itself is known for its strong research infrastructure, generous funding opportunities, and a high quality of life, making it a top destination for ambitious scholars.
Research Topic and Significance
The research group at the University of Marburg is dedicated to advancing experimental systems at the frontier of neuroimaging and neurostimulation. By combining technologies such as EEG, fNIRS, fMRI, transcutaneous vagus nerve stimulation (tVNS), and transcranial electrical stimulation (tES), the lab seeks to both measure and influence brain activity in novel ways. This multidisciplinary focus is essential for unraveling the complexities of human cognition and behavior, and for developing new therapeutic strategies in neuroscience and clinical psychology. The integration of computational neuroscience and artificial intelligence further enhances the lab’s ability to analyze rich datasets and drive innovation in translational neuroscience.
Project Details
The position is embedded within a vibrant lab environment that emphasizes hands-on experimentation, hardware integration, and rapid prototyping. Team members have access to advanced neurostimulation setups and high-performance GPU computing infrastructure, as well as clinical and neuroscience datasets. The lab is physically located within a hospital setting, fostering close collaboration with clinical and experimental psychology departments. The research agenda is shaped by a strong foundation in computational neuroscience and AI, with a particular emphasis on developing new experimental systems that can push the boundaries of what is measurable and modifiable in the human brain.
This position was advertised by Dr. Hamidreza Jamalabadi on LinkedIn. For more information and to find out how to apply, visit:
https://www.linkedin.com/posts/hamidreza-jamalabadi-50028824_im-looking-for-a-highly-motivated-team-share-7446916894995070976-weub
Candidate Profile
The ideal candidate for this position is hands-on, solution-oriented, and enjoys building and tinkering with experimental systems. Strong coding skills and the ability to quickly prototype new experiments are essential. Applicants should have experience or a strong interest in hardware integration and system design. A background in psychology or engineering is preferred, ideally with cross-training in the other field. The lab values expertise and motivation over formal degrees, so candidates with Bachelor’s, Master’s, or PhD qualifications are all encouraged to apply if they possess the relevant skills and drive.
Application Process
Please refer to the official advertisement for application details.
For additional information and to connect directly with the lab, see the LinkedIn post:
https://www.linkedin.com/posts/hamidreza-jamalabadi-50028824_im-looking-for-a-highly-motivated-team-share-7446916894995070976-weub
Conclusion
If you are ambitious about hardware-driven NeuroAI, translational neuroscience, and building innovative experimental systems, this position at the University of Marburg offers a unique platform to advance your career. The university’s strong research tradition, collaborative environment, and access to leading-edge technology create an unparalleled setting for scientific growth. Interested candidates are encouraged to apply and to explore similar opportunities in neuroscience and engineering.
Questions & Answers
Question: What makes Germany an attractive destination for neuroscience research?
Germany offers world-class research infrastructure, generous funding, and a collaborative academic culture. Its universities are renowned for excellence in neuroscience and related disciplines, making it a hub for international researchers.
Question: What kind of technologies will I work with in this position?
You will gain hands-on experience with EEG, fNIRS, fMRI, transcutaneous vagus nerve stimulation (tVNS), and transcranial electrical stimulation (tES), as well as advanced neurostimulation setups and GPU computing.
Question: Is a specific degree required to apply for this position?
No specific degree is required. The lab values relevant expertise, strong coding skills, and motivation over formal qualifications, so candidates with Bachelor’s, Master’s, or PhD degrees are all welcome.
Question: How can I learn more about the application process?
Refer to the official LinkedIn advertisement for full details and direct contact information:
https://www.linkedin.com/posts/hamidreza-jamalabadi-50028824_im-looking-for-a-highly-motivated-team-share-7446916894995070976-weub
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
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