Application Specialist for High Dimensional Data Science 50 - 80

About

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting‑edge research and top‑class education. Put your talent and skills to work with us. Find out more about UZH as an employer!

Responsibilities

• supporting scientific projects with their complex data analysis tasks
• helping and advising researchers with integrating our software into their workflows and projects
• recruiting new users through systematic reach‑out efforts
• integrating both with the HDDS, the Microscopy Innovation Platform, and the URPP AdaBD in general
• participating in writing scientific papers
• creating documentation materials, example datasets and tutorials for the software provided by the HDDS platform
• proposing and implementing useful extensions of the software utilizing third‑party tools and novel custom methods
• visiting conferences to present the HDDS software and approach

Profile

The ideal candidate has a solid background in natural sciences, preferably neuroscience or adjacent fields and a very good theoretical and practical understanding of data science methods in the context of anatomical, functional, and behavioral data.

• a master's degree or PhD in neuroscience, biomedicine, computer science, physics or adjacent fields
• excellent understanding of data analysis methods for anatomical and functional imaging data in a neuroscience context, particularly concerning multi‑modal, high‑dimensional and large data sets
• curiosity and experiment‑driven mindset
• willingness to become an expert user of the HDDS software
• academic track record with published papers in established journals or conference proceedings
• excellent programming skills particularly in MATLAB; solid Python or Java knowledge
• ability to understand, work with, and possibly extend complex software architectures
• good time‑management skills to support short (several months) or long (several years) project collaborations
• good communication skills