Research Assistant/Associate (f/m/d) Physical AI & Robot Learning

RWTH Aachen University

Nordrhein-Westfalen

On-site

EUR 52,000 - 68,000

Full time

14 days+

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Benefits offered by this job

NEURA Gym RWTH Aachen
GPU-Cluster

Job summary

RWTH Aachen University sucht eine/n Doctoral Researcher im Bereich der Physikalischen KI. Die Position ist befristet bis zu drei Jahren mit Verlängerungsoption und bietet die Möglichkeit, einen Doktortitel zu verfolgen.

Es handelt sich um eine Vollzeitstelle im Bereich der Bildverarbeitung und robotischer Systemsforschung. Gefordert sind exzellente Deutsch- oder Englischkenntnisse (Englisch bevorzugt) und eine starke Programmierkompetenz in Python/PyTorch, sowie die Bereitschaft zur

Qualifications

  • Abgeschlossenes Masterstudium in Informatik, Elektrotechnik, Robotik oder einem verwandten Bereich.
  • Solide Kenntnisse in mindestens einem der Felder: maschinelles Lernen, Computer Vision, Sprachmodelle, Robotik, RL oder verwandte Gebiete.
  • Starke Programmierkenntnisse, Prototyping und Evaluierung von Forschungsansätzen, idealerweise in Python und PyTorch.

Responsibilities

  • Durchführung von Forschung zu lernenden robotischen Systemen in komplexen Umgebungen.
  • Entwicklung, Implementierung und Evaluierung von Modellen; Durchführung von Experimenten in Simulation und mit realen Robotern.
  • Veröffentlichung auf internationalen Konferenzen und Mitwirkung an der Gruppenentwicklung.

Skills

Python
PyTorch
Machine learning
English communication

Education

Master-Abschluss

Job description

Weitere Informationen

The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term up to 3 years. There is an option to extend the position for a further three years. The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts). This is a full-time position. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

We are inviting applications for the Doctoral Researcher position in the Physical AI Lab at the Chair of Imaging and Computer Vision, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University. Our group develops generalist robots that autonomously solve real-world long-horizon tasks.

We offer:

  • The opportunity to join and shape a growing research group
  • Close supervision and scientific mentoring and support for publications, conference participation and academic career development
  • Access to the newly built NEURA Gym RWTH Aachen with robots operating in real-world scenarios
  • Access to extensive on-premises computing infrastructure, including around 120 GPUs and additional high-end GPU clusters available on demand
  • Active collaborations with partners from academia and industry
Ihr Profil
  • An excellent master's degree (or comparable) in computer science, electrical engineering, robotics, or a related field
  • Solid knowledge of at least one of the following areas, and ideally several: machine learning, computer vision, language models, robotics, diffusion models, reinforcement learning, or related fields
  • Strong programming skills, with the ability to rapidly prototype, implement, and evaluate research ideas, preferably in Python and PyTorch
  • High motivation, scientific curiosity, and the ability to work both independently and collaboratively
  • Excellent communication skills in English; German is advantageous but not required
Ihre Aufgaben

The successful candidate will conduct research on learning-based robotic systems that perceive, reason, and act in complex environments. Possible topics include:

  • Vision-language-action models
  • robotic world models
  • active perception
  • structured memory systems
  • human-robot cognitive alignment
  • hybrid imitation and reinforcement learning
  • medical robotics.

Your work will include developing methods, implementing and evaluating models, conducting experiments in simulation and with physical robots, publishing at top international venues, and contributing to the development of the group

Über uns

RWTH is proud to be certified as a family-friendly university. As part of our Campus Health initiative, RWTH offers a wide range of health, counseling, and prevention services, including university sports. Employees under collective bargaining agreements and civil servants also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting. All University employees also have access to the Corporate Benefits online platform, which offers discounts on a wide range of products and services from participating companies. RWTH is an equal opportunities employer. We welcome and encourage applications from all qualified candidates and make employment decisions without regard to national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is especially committed to supporting the advancement of women in academia. When women are underrepresented in a university unit, preferential consideration will be given to female applicants among candidates of equal merit and professional standing, unless compelling reasons favor another individual. In keeping with RWTH's commitment to equality of opportunity, we ask that you do not include a photo with your application. Please refer to https://www.rwth-aachen.de/applicant-privacy-policy for information about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR).

Besoldung / Entgelt

EG 13 TV-L

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