Practical semester / Student Assistant for developing tools for Research Data Management in MINDset project

Your Job:

The research data management project on Multimodal Imaging in Neuropsychiatric Disorders dataset (MINDset), aims to address the need for a secure, reliable, and centralized data storage and processing solution for multimodal imaging data (PET/MRI/EEG). The goal of this proposal is to consolidate all multimodal datasets, including Omics data, cognitive and neuropsychiatric test scores, into a unified storage platform. The data will be organized according to the Brain Imaging Data Structure (BIDS) format for each modality. Additionally, a user-friendly query tool will be developed to facilitate data access, complete with detailed metadata. By centralizing and standardizing the data, research capabilities will be significantly enhanced, enabling the unlocking of new insights at the intersection of multiple modalities.

Your main task within the project is:

• Organizing data into the Brain Imaging Data Structure (BIDS) format for each modality
  
• Organizing metadata and test scores using suitable framework
  
• Creating a comprehensive database containing pre-processed features and metadata
  
• Developing a user-friendly query tool to facilitate data access

Your Profile:

• Master’s student from the field of Computer Science, Data Science, Software Engineering or Biomedical Engineering, or other study programs with specializations in Software development, Database Management, Medical Imaging and/or Signal Processing
  
• Demonstrated programming proficiency in MATLAB and Python
  
• Preferably, experience in GUI (Graphical User Interface) development
  
• Candidates are encouraged to highlight relevant coursework and projects related to MATLAB and Python in their cover letter
  

Additional skills (recommended, not mandatory):

• Technical and practical knowledge about neuroimaging techniques (fMRI, EEG, fNIRS) and / or signal processing methods / algorithms and multivariate data analysis
  
• Experience with software packages such as FSL, SPM, EEGLAB
  
• Basic knowledge in Statistics and Microsoft/open office
  
• Strong proficiency in English communication skills
  
• Basic fluency in German

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
The project will be supervised by RDM (Research Data Management) experts on campus, ensuring access to required technical consultations. The position will be placed in an international team where team meetings and scientific presentations are routinely held in English. Students are expected to send a report on the project and take part in the students’ meetings and social/ team building activities of INM-4 every month.

We also offer:

• Working hours of 10 - 19 hours per week, based on your capabilities
  
• Ideal conditions for gaining practical experience alongside your studies
  
• An interdisciplinary collaboration on projects in an international, committed, and collegial team
  
• Excellent technical equipment and the newest technology
  
• Qualified support through your scientific colleagues
  
• A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
  
• Opportunity to participate in skill development and language courses offered on campus
  

The position is for a fixed term until 31.12.2024.

In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits.

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.