Klinikum der Universität München
81377 München - Deutschland
Forschungsreferent/in
Arbeit
Vollzeit
ab 15.07.2026
Beschreibung
Scope of duties
The Functional Neuroimaging research group is looking for a highly motivated PhD candidate to join an ERC-funded project, combining neuroimaging and machine learning to advance our understanding of functional connectivity in neurological disorders, with a focus on neuro-oncology and neurodegeneration. During your three-year doctorate period you will be supervised to:
· Implement, and maintain a scalable research database, integrating multimodal neuroimaging data (structural MRI,... weiter lesen
The Functional Neuroimaging research group is looking for a highly motivated PhD candidate to join an ERC-funded project, combining neuroimaging and machine learning to advance our understanding of functional connectivity in neurological disorders, with a focus on neuro-oncology and neurodegeneration. During your three-year doctorate period you will be supervised to:
· Implement, and maintain a scalable research database, integrating multimodal neuroimaging data (structural MRI,... weiter lesen
Scope of duties
The Functional Neuroimaging research group is looking for a highly motivated PhD candidate to join an ERC-funded project, combining neuroimaging and machine learning to advance our understanding of functional connectivity in neurological disorders, with a focus on neuro-oncology and neurodegeneration. During your three-year doctorate period you will be supervised to:
· Implement, and maintain a scalable research database, integrating multimodal neuroimaging data (structural MRI, resting-state fMRI), along with clinical, demographic, and acquisition metadata.
· Design and develop AI-based methods for anomaly detection in brain connectivity data.
· Develop and maintain processing pipelines for large-scale neuroimaging datasets (structural and resting-state fMRI).
· Perform MRI preprocessing, quality control, and functional connectivity analysis.
· Integrate imaging data with demographic and acquisition metadata for machine learning applications.
· Work with large multi-cohort datasets and collaborate in an interdisciplinary team of clinicians, imaging scientists, and AI researchers - including international research partners
· Contribute to cutting-edge research with the goal of publishing in leading international journals.
Our requirements
· Master’s degree (or equivalent) in neuroscience, biomedical engineering, computer science, physics, data science, or a related field, with an excellent academic record (e.g., excellent GPA, first-class degree, or equivalent).
· Experience with scientific programming (Python preferred); familiarity with SQL and database systems is desirable. Experience with MATLAB, R, or similar languages, as well as basic scripting skills (e.g., Bash), is welcome.
· Experience working with Linux-based computing environments and large-scale datasets is beneficial.
· Basic understanding of machine learning or deep learning methods.
· Strong interest in neuroimaging, brain connectivity, and machine learning.
· Familiarity with neuroimaging data formats and tools (e.g., NIfTI, BIDS, FSL, AFNI, FreeSurfer) is advantageous; experience with functional MRI (fMRI) analysis is a plus.
· Strong analytical and problem-solving skills.
· Ability to work both independently and collaboratively in an interdisciplinary environment.
· Very good written and spoken English.
Our offer
· A dynamic and interdisciplinary research environment at LMU Klinikum, one of Europe’s leading medical institutions.
· An established and structured research group with a strong publication track record, striving for high-impact publications.
· A collaborative and supportive team culture, including regular group meetings, structured supervision, and one-on-one mentoring.
· Strong research infrastructure, including dedicated support in biostatistics, clinical data science, AI algorithm development, and project management.
· Opportunities for career development, including mentorship, grant writing support, and international networking.
· Flexible and family-friendly working conditions, including options for remote work where appropriate.
· The position is limited to three years.
· PhD degree awarded through the Medical Faculty of LMU Munich (PhD in Medical Research, or Dr. rer. nat., or Dr. hum. biol.)
· Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.
The Functional Neuroimaging research group is looking for a highly motivated PhD candidate to join an ERC-funded project, combining neuroimaging and machine learning to advance our understanding of functional connectivity in neurological disorders, with a focus on neuro-oncology and neurodegeneration. During your three-year doctorate period you will be supervised to:
· Implement, and maintain a scalable research database, integrating multimodal neuroimaging data (structural MRI, resting-state fMRI), along with clinical, demographic, and acquisition metadata.
· Design and develop AI-based methods for anomaly detection in brain connectivity data.
· Develop and maintain processing pipelines for large-scale neuroimaging datasets (structural and resting-state fMRI).
· Perform MRI preprocessing, quality control, and functional connectivity analysis.
· Integrate imaging data with demographic and acquisition metadata for machine learning applications.
· Work with large multi-cohort datasets and collaborate in an interdisciplinary team of clinicians, imaging scientists, and AI researchers - including international research partners
· Contribute to cutting-edge research with the goal of publishing in leading international journals.
Our requirements
· Master’s degree (or equivalent) in neuroscience, biomedical engineering, computer science, physics, data science, or a related field, with an excellent academic record (e.g., excellent GPA, first-class degree, or equivalent).
· Experience with scientific programming (Python preferred); familiarity with SQL and database systems is desirable. Experience with MATLAB, R, or similar languages, as well as basic scripting skills (e.g., Bash), is welcome.
· Experience working with Linux-based computing environments and large-scale datasets is beneficial.
· Basic understanding of machine learning or deep learning methods.
· Strong interest in neuroimaging, brain connectivity, and machine learning.
· Familiarity with neuroimaging data formats and tools (e.g., NIfTI, BIDS, FSL, AFNI, FreeSurfer) is advantageous; experience with functional MRI (fMRI) analysis is a plus.
· Strong analytical and problem-solving skills.
· Ability to work both independently and collaboratively in an interdisciplinary environment.
· Very good written and spoken English.
Our offer
· A dynamic and interdisciplinary research environment at LMU Klinikum, one of Europe’s leading medical institutions.
· An established and structured research group with a strong publication track record, striving for high-impact publications.
· A collaborative and supportive team culture, including regular group meetings, structured supervision, and one-on-one mentoring.
· Strong research infrastructure, including dedicated support in biostatistics, clinical data science, AI algorithm development, and project management.
· Opportunities for career development, including mentorship, grant writing support, and international networking.
· Flexible and family-friendly working conditions, including options for remote work where appropriate.
· The position is limited to three years.
· PhD degree awarded through the Medical Faculty of LMU Munich (PhD in Medical Research, or Dr. rer. nat., or Dr. hum. biol.)
· Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.
Ref-Nr.: 10745075
Aktualisiert:
02.05.2026
Quelle: Bundesagentur für Arbeit
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Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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