Utilization of Physical AI for Fast and Efficient Implementation of Robotic-Assisted Processes in Diagnostic and Pharmaceutical Raw Material Production (m/f/d)
Roche
PenzbergPosted 6 days agoDiscoveredMatch locked
Full time3+ years exp
About the role
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
About the project
The implementation of robotics and automation in industrial environments currently requires high investment, significant engineering effort, and extensive setup times. Consequently, automation is often only economically viable for processes characterized by high repetition, low uniformity, low variance, or strict requirements for product and personal protection.
This PhD project
aims to drastically reduce the implementation effort and associated costs of robotic systems. By lowering these barriers, automation can become viable for flexible, low-volume, and high-variance production environments. The core focus of this research is the utilization of Physical AI for fast, intuitive, and efficient training and adaptation of robots. The project will evaluate key factors required to achieve effortless implementation while simultaneously ensuring high process robustness and safety.
Degree
Master's degree (or equivalent) in Robotics, Computer Science, Mechanical/Electrical Engineering, Automation Engineering, Physics, or a closely related field.
Physical AI & Machine Learning
- Solid understanding of Machine Learning (ML) and Deep Learning (DL) architectures
- Familiarity with concepts like
Reinforcement Learning (RL)
,
Imitation Learning
(Learning from Demonstration), or
Physics-Informed Neural Networks (PINNs)
- Experience applying AI to physical systems or hardware
Robotics & Automation
- Strong foundation in robot kinematics, dynamics, and control
- Experience with robotic frameworks, primarily
ROS / ROS2
(Robot Operating System)
Software Engineering
- Advanced programming skills in
Python
and/or
C++
.Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.Familiarity with simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo)
- Domain Knowledge & Soft Skills
Industrial Application
Basic understanding of production environments, ideally regarding process safety, robustness, or flexible manufacturing (low-volume, high-variance)
Regulated Environments
Interest in or prior exposure to strict production standards (like cleanrooms or pharmaceutical/diagnostic constraints) is a strong plus
Analytical Mindset
Ability to bridge abstract AI theory with practical, real-world robotic deployment
Communication & Collaboration
Strong team player capable of working in interdisciplinary teams and presenting research at international conferences
Your Advantages
- 3,750 € salary per month for a full-time
- The possibility of accommodation in the Roche Boarding House or convenient transport connections to Munich with the Roche Shuttle
Your Application
Please upload your Curriculum vitae specific to this position.
Start
As of January 2027 or according to the agreement for a period of 3 years.
Your contact to us! With people. For people.
Do you need further support?
Please have a look at our FAQs, you will find them via https://careers.roche.com/global/en/faq .
Who we are
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
Not included in the source posting: qualifications, benefits.
Skills
artificial-intelligencemachine-learningcdeep-learningpythonpytorchtensorflow
Who can apply
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