Working Student Supply Chain (all genders)

Isarsoft

WE ARE ISARSOFT We make every camera count At Isarsoft we develop video analytics software to make transportation and cities more efficient, inclusive and secure. We stand for data protection and responsible processing of sensitive data. Being on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. Our customers and partners are at the center of everything we do. Founded in 2019 we have grown organically winning large customers and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company focusing on long-term relations to our customers and team members. YOUR MISSION As Working Student Software Engineer at Isarsoft you will be at the heart of the research and development. You will be closely working together with our international team including Isarsoft's CTO and Co-Founder. Your responsibilities include researching and developing algorithms for camera calibration, synchronization, and real-time video analytics. YOUR PROFILE * Strong Python Skills: You are highly proficient in Python and feel completely comfortable manipulating and analyzing data with libraries like Pandas and NumPy. * CV/ML Experience: You have a solid foundational knowledge and hands-on experience in Computer Vision and/or Machine Learning, specifically with PyTorch and OpenCV. (Strong academic experience, such as relevant university lectures, thesis work, or student projects, is absolutely welcome!) * Development Fundamentals: You know your way around Linux environments and are comfortable using Git for version control. * Modern Coding Practices: You are comfortable and efficient using AI coding assistants (like GitHub Copilot) to optimize your daily work. * Passionate about working with talented, motivated professionals     * Fluent in English * Location: You must be currently based in or willing to relocate to the Munich area, as this role requires regular on-site collaboration. ADDITIONAL ASSETS * Familiarity or first touchpoints with VLMs (Vision-Language Models) or LLMs (Large Language Models). * Basic knowledge of C++ (e.g., for reading or maintaining existing codebase). * Basic understanding of Docker and containerized workflows. * Exposure to deployment and optimization tools like ONNX or TensorRT. BENEFITS * An experienced, highly motivated and international team to learn and grow * A high-impact work environment with flat hierarchies and short decision-making processes * Have the flexibility to work from anywhere: A great office in Garching nearby Munich, from home or the English-Garden  * Free lunch, coffee and drinks at our office  Sounds good? We are just getting started. Let's build a great company together. HIRING PROCESS We are committed to a transparent and fair hiring process. We aim for concluding the interview process in no longer than 3 weeks. There are two stages for a Working Student position at Isarsoft. * Video Interview with HR  * Technical Deep Dive  We deeply believe that a great product only can be build by a great team. That's why sharing our values, being a team-player and having a energetic attitude is as important as bringing the right technical skills.

Staburo

YOUR RESPONSIBILITIES WILL INCLUDE * Hands-on data processing and analysis of clinical data (e.g., trial data, biomarkers, gene expression data) * Support in Data Science projects as well as non-clinical / clinical development in all study phases, e.g., programming of tables and figures, sample size calculation, high-dimensional data analysis * Data visualization and output generation * Statistical programming and development of reusable programs (e.g., functions, macros, R packages) YOUR PROFILE * Studies in statistics, mathematics, data science, or a similar direction  * Knowledge on basic and advanced statistical methods, e.g., hypothesis testing, multivariate analysis * Advanced programming skills in R, knowledge in R Shiny Applications optional * Strong analytical and quick-learning skills  * Precise and accurate way of working  * Team player and a high degree of initiative * Good English skills, German is an advantage * As a working student (f/m/d), you are available for up to 20 hours per week, whereby you can flexibly adjust your working hours to your schedule – starting immediately WHAT WE OFFER YOU We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, even after your studies, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen is part of our everyday working life. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds. QUESTION? If you have any questions, please feel free to contact us by e-mail application@staburo.de.

STARK

ABOUT US STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable and cost-effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today. ABOUT THE TEAM The Flight Science team is responsible for analysing, processing and interpreting data generated throughout the development and testing of our autonomous systems. By building reliable data infrastructure and scalable analytics workflows, the team enables engineers to make informed decisions that improve system performance, reliability and operational capability. Working closely with software, robotics and flight test engineers, the team transforms complex engineering data into actionable insights that drive product development YOUR MISSION As a Data Engineering Intern / Working Student, you will help build and maintain the data infrastructure that powers the Flight Science team's analytics and decision-making. You will develop reliable data pipelines, improve data quality and collaborate with engineers to ensure flight and operational data is accessible, accurate and scalable. RESPONSIBILITIES * Develop and maintain automated ETL/ELT pipelines to ingest, clean and structure raw flight test and simulation data. * Optimise data workflows to reduce processing latency and improve access to engineering analytics. * Implement data validation and monitoring processes to identify pipeline failures, anomalies and missing data. * Collaborate with Flight Science engineers to design scalable data models and database schemas. * Integrate new internal and external data sources, including weather and telemetry datasets. * Document pipeline architecture, data models and system dependencies to support maintainability and knowledge sharing. * Support the scaling and optimisation of data storage solutions as flight data volumes increase. QUALIFICATIONS * Currently pursuing a degree in Computer Science, Information Systems, Data Science or a related technical field, with at least three completed semesters. * Strong Python programming skills for data processing and scripting. * Solid understanding of SQL and relational databases. * Familiarity with ETL/ELT concepts and data pipeline development through university projects, internships or personal projects. * Experience using Git or other version control systems. * Strong English communication skills, both written and spoken. * Availability to work full-time for a six-month internship or part-time (15–20 hours per week) as a working student. NICE TO HAVE * Experience working with time-series or sensor data. * Familiarity with workflow orchestration tools such as Apache Airflow or Prefect. * Basic knowledge of cloud platforms (AWS, Azure or GCP) or Docker. * Experience with data visualisation tools such as Grafana, Tableau or Streamlit.