25 requirements-engineering PhD positions at Chalmers University of Technology in sweden
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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: Required qualifications: Master of Science in Civil or Environmental Engineering, or a related field. Experience in hydrological modelling. Proficiency in English, with strong skills in scientific
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. Your profile Required qualifications: Master’s degree (minimum 240 ECTS) in civil engineering, building production, construction management, or equivalent (e.g., focusing on sustainability and
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120 credits or a Master’s degree (magisterexamen) of 60 credits in Materials Science, Engineering Physics, or a related field* You will need strong written and verbal communication skills in English
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for reactive synthesis. This allows us to describe dynamic behaviors in complex environments over time. You will work with formal tools such as: Planning domains and temporal logic — to describe the required
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team of over 15 full-time researchers offers a stimulating and supportive environment to learn and grow. Your profile Required qualifications: Undergraduate degree in Civil Engineering or a related topic
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. The work contributes to both scientific understanding and sustainable industrial innovation. Who we are looking for The following requirements are mandatory: To qualify as a PhD student, you must have a
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, Electrical Engineering, Mechanical Engineering, or a related field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's degree is accepted
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning