19 beste Stellen als machine learning in linz oö – aktuell auf Personalsuche

GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT DESIGN FOR ROBOT LEARNING
Johannes Kepler Universität Linz —Linz, OÖ
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GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT LEARNING
Johannes Kepler Universität Linz —Linz, OÖ
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- Doktorat
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GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT DESIGN FOR ROBOT LEARNING
Johannes Kepler Universität Linz —Linz, OÖ
Develop and apply machine learning approaches, with a particular focus on reinforcement learning, on our newly designed hardware.
GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT LEARNING
Johannes Kepler Universität Linz —Linz, OÖ
Familiarity with simulation environments (e.g. MuJoCo, Isaac Gym/Sim), Robot Operating System (ROS) / ROS2, and deep learning frameworks (e.g. PyTorch) is a…

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GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT DESIGN FOR ROBOT LEARNING

Johannes Kepler Universität Linz
Linz, OÖ

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit

Qualifikationen

Doktorat
Master
Bachelor

Vollständige Stellenbeschreibung

The world is changing at an ever-faster pace. At the Johannes Kepler University Linz, we work on technologies and the ideas of tomorrow on a daily basis. At the same time, we educate over 27,000 young people to meet the demands of today’s job market. In short, we are Upper Austria’s largest institution for education and research. Are you interested in being a part of shaping the future of Austria’s most attractive campus university? We currently have a job opening for a:

Graduate Teaching Assistant (must hold a Diploma/Master's degree, Ph.D. Position) in robot design for robot learning for a full-time or part-time, four-year position

Organizational unit:

Institut für Maschinelle Intelligenz

Entry date:

as soon as possible

Job Reference Number:

36300-2026-001924

The newly founded Institute for Machine Intelligence at Johannes Kepler University Linz studies how intelligent behavior emerges from learning systems interacting with the physical world. We develop algorithms and robotic platforms that enable machines to learn from experience, generalize beyond training conditions, and operate autonomously in complex environments to solve the toughest real-world challenges. We place special focus on the governing principles of the robotic body in conjunction with learning algorithms. Our ambition is to now build the next generation of robotic platforms that will help us answer key questions within this framework. We are looking for an enthusiastic personality who wants to commit to our mission.

Position highlights:

Individually tailored mentoring and career development: Your success is our priority! You will receive close, individualized mentoring tailored to your strengths and career goals.
Competitive salary: The salary is among the highest internationally and affords a very high quality of life in the beautiful city of Linz.
Build a strong international network: We have close ties to leading research groups worldwide, including the MPI for Intelligent Systems, TU Darmstadt, and the University of Alberta. Visits, collaborations, and internships in both academia and industry are actively encouraged.
Shape your environment: As one of the first scientific members of our newly founded institute, you have the unique opportunity to help define its culture, research agenda, and identity from the very start.
JKU Linz: Modern research infrastructure, cafeteria with organic food, extensive sports facilities (USI), and a beautiful campus.
Life in Linz: Beautifully situated on the Danube, with the Attersee, Traunsee, and the Alps just a short drive away. Well-connected to Vienna, Salzburg, and Munich. Affordable housing paired with a competitive salary makes Linz an exceptional place to live.

Job Duties:

Contribute to the institute's efforts in research and teaching in the field of robot learning
You will be leading the robot hardware design and development and will be using state-of-the-art methods from 3D printing and manufacturing
Publish and present our scientific findings in world-wide, top-tier robotics and machine learning venues such as CoRL, ICRA, R:SS, NeurIPS, ICLR, ICML, TRO, TRL, IJRR, Science Robotics
Set up the full software stack around the robot, including sensor integration, action interfaces, and the connection to learning pipelines
Develop and apply machine learning approaches, with a particular focus on reinforcement learning, on our newly designed hardware
Supervise students and develop your skills as a mentor: learn to guide, inspire, and bring out the best in others under the guidance and support of the PI

Your Qualifications:

The successful candidate must hold a completed diploma or master's degree in, but not limited to, robotics, computer science, mechatronics, mechanical engineering, electrical engineering, machine learning/artificial intelligence (with lots of interest in robot hardware design), physics, or math
Be a highly motivated, independent, and ambitious personality
Be thrilled about AI and robotics
Experience with programming (Python, C++, or similar)
Familiarity with CAD tools (e.g. Fusion 360, SolidWorks, FreeCAD), simulation environments (e.g. MuJoCo, Isaac Gym/Sim), Robot Operating System (ROS) / ROS2, and deep learning frameworks (e.g. PyTorch) is a plus
Willingness to acquire complementary disciplinary competencies required for this doctoral project
Be able to communicate and write in English (B2) and German (B2)
Ability to think analytically and communicate thoughts clearly, both verbally and in writing. Be accurate, reliable, creative, and resilient. Be comfortable with uncertainty and open-ended problems

What We Offer:

On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 3,776.10 gross per month (14 x per year, CA Job Grade: B1)
Stable employer
Attractive campus environment with good public transportation connections
Attractive continual educational opportunities
State-of-the-art research infrastructure
Dynamic research environment
Broad range of on-campus dining services/healthy meals (organic food at the cafeteria)
Exercise and sports classes (USI)

Application due date

06/15/2026

Excited? We'd love to hear from you! Please upload the following documents:

A personal statement that describes why you want to pursue a doctorate at the Institute for Machine Intelligence as well as what particular aspect of this research area interests you.
A complete CV in English.
Transcript of records and certificates from your university degrees (M.Sc. degree and B.Sc. degree).
Please note: If your personal statement appears to be primarily AI generated, your chances of advancing may not be very high. We want to get to know you and why and what you want to research!

Applications will be evaluated on a rolling basis, we encourage interested candidates to apply early. Shortlisted candidates will be invited for an interview.

The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.

Space for your future? We look forward to receiving your application via our job portal. For further information, please contact: Univ. Prof. Dr. Dieter Büchler, P +43 732 2468 6212, E-mail: [email protected].

Exertion place address

Altenberger Straße 69, 4040 Linz

JOHANNES KEPLER UNIVERSITÄT

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machine learning Jobs in linz oö

GRADUATE TEACHING ASSISTANT (MUST HOLD A DIPLOMA/MASTER'S DEGREE, PH.D. POSITION) IN ROBOT DESIGN FOR ROBOT LEARNING

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