We are seeking a highly motivated researcher to join our team as a Postdoctoral Researcher in Machine Learning for Engineering Design. This is an excellent opportunity to work with a diverse and multi-cultural team in a creative research environment.
Job Description
The postdoctoral position will be part of our laboratory's efforts in developing scientific research infrastructure to better study benchmarking within the domain of Artificial Intelligence-guided Design, Inverse Design, and Optimization. The successful candidate will help set the vision and scientific direction for future efforts in this broad area, collaborating with Ph.D. students, other Post-Docs, and Scientific Staff to produce world-class and high-scientific-value research publications and infrastructure.
This position involves significant interpersonal and leadership opportunities that integrate with others in the ETH workplace, including driving innovation, living inclusivity, building bridges, and enabling people. We encourage candidates to apply even if they do not think they possess every point above, particularly for candidates who may not have had access to certain development opportunities. We will work with any selected candidates to develop targeted competencies on a personalized basis.
Required Skills and Qualifications
* A Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields with an excellent track record in archival journal publications, Computer Science or Robotics conferences, or other competitive venues appropriate to your Ph.D. research field.
* Strong English language skills and the ability to work successfully and collaboratively on diverse, multinational teams.
* Expertise in some of the following areas: Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High-Performance Computing (HPC) environments, or Software Engineering.
Benefits
This fixed-term position is offered for approximately two years, with an initial contract duration of one year, with a possibility of future extensions based on performance evaluation. The anticipated start date for the position is flexible, with an ideal start date between January to March of 2026. However, the exact date can be shifted forward or backward by several months upon mutual agreement to match the employment or graduation needs of the selected candidate.
The position is designed as a full-time (100%) appointment, however, we can offer flexibility in both time and location (home office possibility from your residence in Switzerland) as needed to best enable an individual's needs and well-being. ETH Zurich is a family-friendly employer with excellent working conditions.
Others
ETH Zurich encourages an inclusive culture, promoting equality of opportunity, valuing diversity and nurturing a working and learning environment in which the rights and dignity of all our staff and students are respected.