HiWi: Scientific Public Data Management, Simulation, and Web Application Development

26.02.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

The Dark Matter Data Center, part of the ORIGINS Excellence Cluster, is a unified platform for publishing public data, workflows, and related information from Dark Matter research, facilitating Open Science.
This position entails a structured project divided into distinct phases. Initially, the HiWi will focus on web development and data staging, enhancing the platform's frontend and integrating features with backend servers and repositories. In later phases, the work will shift to constructing public likelihoods for global exclusions on Dark Matter hypotheses and designing a web application to make these results accessible to the scientific community and the public.
The candidate needs to be comfortable with communicating in English.

Your Area of Responsibility:

Experience in at least one of the following categories is desired:
- Frontend and Backend Development: - Enhance the web interface for improved usability and feature additions. - Integrate features with the web-server (linux, SUSE) and GitLab data repository.

- Scientific Simulation and Data Analysis: -Simulating Direct Search rates for experiments with public data. -Build public likelihoods and derive global exclusions on Dark Matter hypotheses.

- Application Development: - Design and implement a web application to make simulation results accessible to the public.

Your Requirement Profile:

Required:
- Enrollment in a Master’s program in Physics, Computer Science, or a related field.
- Proficiency in C++, Python.
- Experience with Julia and/or FORTRAN is an added advantage.
- Familiarity with Linux/Bash.
- Familiarity with GitLab interface including Git CI/CD and pipelines.
- Strong analytical skills, attention to detail, and ability to work independently within a collaborative project.

At least one of the following:
- Familiarity with full stack development.
- Familiarity with the CERN ROOT Framework for Scientific Data analysis.

- Knowledge of Bayesian statistical methods or particle physics is a plus.

Our Offer:

- 6-10hrs/week.
- Flexible hours to accommodate your academic commitments.
- Opportunity to contribute to a high-profile research project in Dark Matter physics.
- Opportunity to be creative with building an Open Data platform grounds-up.
- Gain hands-on experience with real-world scientific data management and analysis.

Contact Person:

If you are interested, please contact (including a CV, current enrolment certificate and grade report):

Dr. Heerak Banerjee (heerak.banerjee@tum.de)

Kontakt: heerak.banerjee@tum.de