Industrial PhD Program: Robot Learning (m/f/d)

TN Germany; München; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a talented individual to join their dynamic Munich Research Center. The role focuses on pioneering research in robotic learning, including reinforcement and imitation learning, and requires proficiency in programming languages like Python and C++. The successful candidate will have the opportunity to work on cutting-edge algorithms that enhance robotic manipulation systems, collaborating with diverse teams to bring innovative solutions to life. This position offers a vibrant, multicultural environment where creativity and teamwork drive the development of groundbreaking technologies. If you're passionate about robotics and eager to make a meaningful impact, this opportunity is for you.

Leistungen

Healthy meals in company canteen

Broad range of training opportunities

Language courses in German and Mandarin

Diverse and welcoming environment

Self-responsible work in a growing team

Qualifikationen

• Conduct research in robot learning, including reinforcement and imitation learning.
• Collaborate with teams to integrate research into practical robotic systems.
• Publish findings in top-tier conferences and journals.

Aufgaben

• Develop innovative algorithms for robotic manipulation systems.
• Design and implement algorithms on state-of-the-art robotic platforms.
• Test algorithms to solve complex real-world challenges.

Kenntnisse

Python

C++

Reinforcement Learning

Imitation Learning

Deep Learning

Analytical Skills

Problem-Solving

Communication Skills

Ausbildung

MSc in Computer Science

MSc in Robotics

MSc in Electrical Engineering

MSc in Information Technologies

Tools

TensorFlow

PyTorch

ROS

Gazebo

Mujoco

Jobbeschreibung

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Client:

Huawei Research Center Germany & Austria

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Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

32b6c34184cb

Job Views:

1

Posted:

30.04.2025

Expiry Date:

14.06.2025

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Job Description:

Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology (ICT) solutions provider.

Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services.

Huawei is active in more than 170 countries and has over 197,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide.

Huawei's Munich Research Centeris responsible for advanced technology research, architectural development, design and strategic engineering of our products.

The size of our cloud platform is gaining momentum and it is already planet scale. Huawei Cloud is one of the largest and fastest-growing platforms in the world. It has strong presence with over 40 availability zones located across 4 continents and 23 geographical regions, covering locations such as Germany, Hong Kong, South Africa, or Brazil, among others.

Join us as

The successful candidate will focus on developing innovative algorithms and techniques, such as vision-language-action models, to advance the reasoning and dexterity of robotic manipulation systems. This role involves designing, implementing, and testing cutting-edge algorithms on state-of-the-art robotic platforms to solve complex real-world challenges.

Your mission

• Conduct research in robot learning, including reinforcement learning, imitation learning, and deep learning techniques.
• Collaborate with cross-functional teams to integrate research outcomes into practical robotic systems.
• Publish research findings in top-tier conferences and journals.

Your areas of expertise

• MSc or equivalent degree in computer science, robotics, EE, information technologies, or other related disciplines.
• Proficiency in programming languages such as Python, C++, and experience with machine learning frameworks like TensorFlow or PyTorch.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal, with the ability to present complex technical concepts to a diverse audience.
• Experience with Robotics simulation tools related to ROS, such as Gazebo or Mujoco.
• Publication experience on top conferences or journals is a plus

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better-Connected World.