Jetzt als Student Assistants - Data Science & Machine Learning Projects (Domain Adaptation, Transfer Learning) bei Fraunhofer IIS in München bewerben – Deine Chance!

Fraunhofer IIS

München

Stellenausschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros.

The »Analytics« department at the »Center for Applied Research on Supply Chain Services« at Fraunhofer Institute for Integrated Circuits IIS develops new methods and processes for application-oriented data analytics and AI.

Our »Data Efficient Automated Learning« group located in Munich, has a strong focus on Machine Learning (ML) and its applications. We focus on reducing the high cost of annotating large amounts of data (Data Efficiency) and the high manual configuration effort associated with ML development (Automated Learning).

Are you interested in combining research and practice and would like to develop further in the field of Artificial Intelligence (AI) and Machine Learning?

Then have a look at our offer!

What you will do

You will mainly support our team with research projects in fields such as Object Detection, Domain Adaptation, Transfer Learning and Predictive Quality.
You conduct new research and summarize existing research or scientific writing.
You work on the development and maintenance of an extendable ML pipeline within a collaborative software team (e.g., training, validating, and deploying ML models).
You perform classical data science tasks such as data exploration, data cleaning, data analysis and visualization.
You support in administrative tasks (client presentations, documentation).
You show initiative and an independent way of working.

What you bring to the table

You are enrolled in a master’s program or nearing completion of your bachelor’s degree in Statistics, Computer- or Data Science, Mathematics, or a comparable field.
You possess working knowledge of Python and especially in frameworks such as PyTorch, sklearn, etc.
You exhibit a strong understanding of concepts in ML and Statistics and show interest in current ML research.
You have initial experience with container technologies (docker, etc.).
You are proficient in German and/ or English.

What you can expect

Flexible working hours
Open and friendly teamwork
Varied tasks with room for creativity
Exciting seminars and events
Networking with scientists
Active contribution in applied research
Interesting and innovative projects

Weekly working hours are determined by agreement. You can start from now on (as a student assistant from 10 to 20 hours a week). You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days. After your studies, you have the option of working with us full or part time.

We would be happy to offer you the opportunity to write a bachelor's or master's thesis in cooperation with us in the above-mentioned subject area. The thesis will be assigned and carried out in accordance with the rules of your university. For this reason, please discuss the thesis with a professor who can advise you over the course of the project.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity.

Interested?

Apply online now (PDF: cover letter, CV, transcripts). We look forward to getting to know you!

Fraunhofer-Institute for Integrated Circuits IIS

www.iis.fraunhofer.de/en

Requisition Number:1517973 Application Deadline: none Location: Munich

Art der Stelle: Teilzeit, Befristeter Vertrag, Werkstudent

Erwartete Arbeitsstunden: 10–20 pro Woche

Arbeitszeiten: