Jobs

Join Our Research Team! We are constantly seeking candidates with a strong interest in performing cutting-edge research in a highly active and dynamic research area.

For PhD/Postdoc Applicants:

Submit applications and supporting materials to:
contact@vision.rwth-aachen.de

For Student Assistant (HiWi) Applicants:

Submit via: applications@vision.rwth-aachen.de
Mandatory: Use your @rwth-aachen.de email address.

Required Application Materials Include in your submission:

Curriculum Vitae (CV)
Academic transcript of grades
(Optional) Code repository link (GitHub, GitLab, etc.) showcasing your programming skills

Critical Requirements & Restrictions:

Internships:
- We cannot host internships for non-RWTH students
- Internship applications will neither be read nor acknowledged
HiWi Positions:
- Exclusively for candidates residing in Germany
- Preference given to RWTH Aachen University students
- Positions require in-person work (remote not available)

Current Student Job Openings:

3D Scene Understanding (HiWi/Thesis)

Last updated: 12.03.2025

We are seeking a highly motivated and talented student with a strong interest in 3D Scene Understanding to work on cutting-edge research utilizing 3D Gaussian Splatting.

Requirements:

Programming expertise in Python, PyTorch and preferably CUDA.
Strong foundation in mathematics.
Theoretical background in ML and CV with good exam grades preferred.
Familiar with a Linux/Unix command-line environment.

To apply:

Send your application with documents (Current CV, Bachelor/Master transcript and letter of motivation) to Jens Piekenbrinck: piekenbrinck@vision.rwth-aachen.de.

Research Engineer for 3D Computer Vision (HiWi)

Last updated: 12.06.2024

We are seeking a talented and motivated student passionate about 3D Computer Vision to join our team.

Responsibilities:

Implement and evaluate new ideas in close collaboration with our team.
Optionally contribute your own ideas.

Requirements:

Exceptional programming skills (preferably in Python).
Experience with a deep learning framework (preferably PyTorch).
Basic to good understanding of linear algebra and statistics.
Comfortable working in a Linux/Unix command-line environment.

What We Offer:

10-19 hours per week.
Flexible working hours.
Access to GPUs.

This position is for a research student and not for a Master’s thesis. However, if you plan to start your thesis in the next 6-12 months, this is a great opportunity to get to know us and the field, and find an interesting topic for your thesis.

To apply:

Send your application with documents (Current CV, Bachelor/Master transcript and letter of motivation) to Karim Abou Zeid: abouzeid@vision.rwth-aachen.de.

Student Projects in Human Pose Estimation (Project/Thesis only, Start ca. 09/2025)

Overview

Do you want to work on cutting-edge research with the goal of publishing top-tier papers? Depending on your profile and open capacities, I will choose a topic with you from the field of human-pose estimation. I currently cooperate with one of RWTH's big industry partners.

Possible open projects include - activity recognition/forecasting in special environments (dancing, scuba diving, microgravity etc.) - scene graphs in dynamic environments with humans - virtual dolly zoom and depth estimation for fisheye cameras

I am also interested in computer graphics, applications of sketches and drawings in image/video/3D generation as well as sensor data analysis (engineering & physics, for ex. rocket engineering or particle physics) etc. I do not offer projects myself here, but if you have a clever idea or are looking for a co-supervisor in these fields, do not hesitate to contact me.

B. Sc. and M. Sc. students will be given a research & implementation task. Based on your own re-implementation of one or several papers, you will... --> [B. Sc.] analyze the results and put them into scientific context (duration: 3-4 months + preparation time) --> [M. Sc.] try to solve an open research problem by combining or extending algorithms and inventing novel solutions (duration: 6 months + preparation time) Please note that not all projects are suitable for B. Sc. thesis projects.

Requirements

Good (theoretical and applied) background in Machine Learning and/or Computer Vision (Good grades in ML, CV and math exams)
Prior experience with Python, especially PyTorch, and PyTorch Lightning
Strong coding skills in general (clean, object-oriented coding style using Unittests), experience in software engineering is a plus
Basic Linux skills
Familiarity with version control systems (e.g. Git, GitHub)
Good communication skills (German is a plus, very good English is a must)
Open to work closely and cooperatively in a friendly team :)

To apply

Send your application with documents (Current CV, Bachelor/Master transcript and letter of motivation) to Stephanie Käs: kaes@vision.rwth-aachen.de.

HiWi Position

Requirements

Experience with working on computer vision and machine learning related projects.
Preferably prior experience with Python and deep-learning frameworks such as PyTorch, TensorFlow, Keras, etc.
Preferably prior experience in 2D video segmentation.

To apply

Send your application to Idil Esen Zulfikar at zulfikar@vision.rwth-aachen.de.