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PhD Student / Junior Researcher in Control Engineering(m/w/x)
Developing trajectory-planning algorithms for real-time motion control on industrial PLCs. Strong foundation in systems theory and control required. Family-friendly environment, short decision-making processes.
Requirements
- University diploma or master's degree in mechatronics, electrical engineering, cybernetics, systems engineering, mathematics, or physics
- Strong foundation in systems theory and control, ideally including optimal control and trajectory planning
- Proficiency in MATLAB or Python for modeling, simulation, and algorithm development
- Experience with industrial control technology or PLC environments is an advantage
- Willingness to work closely with industrial partners and collaborate with researchers
- Strong analytical mindset, structured working style, and motivation for experimental validation
Tasks
- Develop and optimize advanced trajectory-planning algorithms
- Ensure real-time capability for fast, oscillation-free motion
- Design control and state-estimation algorithms
- Implement algorithms on industrial hardware (PLC)
- Validate algorithms on industrial hardware (PLC)
- Prepare and conduct laboratory experiments
- Conduct experiments on production machinery
- Analyze experimental results
- Collaborate with industrial partners
- Prepare scientific journal publications
- Present research at scientific conferences
- Participate in university teaching (if applicable)
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MATLAB
- Python
- PLC
Benefits
Family Support
- Family-friendly working environment
Informal Culture
- Equal opportunity working environment
Startup Environment
- Short decision-making processes
Diverse Work
- Wide range of opportunities
Other Benefits
- Diversity promotion
- Support for women in science
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PhD Student / Junior Researcher in Control Engineering(m/w/x)
Developing trajectory-planning algorithms for real-time motion control on industrial PLCs. Strong foundation in systems theory and control required. Family-friendly environment, short decision-making processes.
Requirements
- University diploma or master's degree in mechatronics, electrical engineering, cybernetics, systems engineering, mathematics, or physics
- Strong foundation in systems theory and control, ideally including optimal control and trajectory planning
- Proficiency in MATLAB or Python for modeling, simulation, and algorithm development
- Experience with industrial control technology or PLC environments is an advantage
- Willingness to work closely with industrial partners and collaborate with researchers
- Strong analytical mindset, structured working style, and motivation for experimental validation
Tasks
- Develop and optimize advanced trajectory-planning algorithms
- Ensure real-time capability for fast, oscillation-free motion
- Design control and state-estimation algorithms
- Implement algorithms on industrial hardware (PLC)
- Validate algorithms on industrial hardware (PLC)
- Prepare and conduct laboratory experiments
- Conduct experiments on production machinery
- Analyze experimental results
- Collaborate with industrial partners
- Prepare scientific journal publications
- Present research at scientific conferences
- Participate in university teaching (if applicable)
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MATLAB
- Python
- PLC
Benefits
Family Support
- Family-friendly working environment
Informal Culture
- Equal opportunity working environment
Startup Environment
- Short decision-making processes
Diverse Work
- Wide range of opportunities
Other Benefits
- Diversity promotion
- Support for women in science
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
UMIT TIROL - Private Universität für Gesundheitswissenschaften und -technologie GmbH
Industry
Healthcare
Description
Die UMIT TIROL bietet universitäre Forschung und Lehre auf höchstem Niveau in Gesundheitswissenschaften und -technologie.
Not a perfect match?
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