Student Assistant Neural Differential Equations

Future. Discover. Together.

We are the Applied Machine Learning (AML) group within the Department for Artificial Intelligence. Currently we are looking for a student research assistant for research on Neural Differential Equations. Become a part of our team and join us on our journey of research and innovation!

What you will do

• Tackle time series forecasting problems with Neural Differential Equations on Graphs

• Develop and test new deep learning architectures

• Conduct and document Deep Learning experiments

• Prepare material for publications

• Review relevant literature and data

What you bring to the table

• Study of mathematics, computer science, physics or similar with good to very good grades

• Strong programming skills in Python with knowledge of libraries such as NumPy, Pytorch, Pandas, Scikit-learn, Matplotlib etc

• LaTeX typesetting skills

• Git knowledge is a plus

• Experience in using Linux (Ubuntu) via the terminal

• Writing clean and concise code

• Diligence in implementing, testing and documenting algorithms and results

• Curiosity about a deeper understanding of Deep Learning architectures

What you can expect

• Fascinating challenges in a scientific and entrepreneurial setting

• Attractive salary

• Modern  and excellently equipped workspace in central location

• Great and cooperative working atmosphere in an international team

• Opportunities to write a master's or bachelors thesis

• Flexible working hours

• Opportunities to work from home

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 hours. This position is also available on a part-time basis. 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. Severely disabled persons are given preference in the event of equal suitability. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 75391                Application Deadline: 10/31/2024