Postdoc position in Computational Social Science / Semantic Urban Elements for Cyber-Physical Cities

Postdoc position in Computational Social Science / Semantic Urban Elements for Cyber-Physical Cities

The Professorship of Computational Social Science (COSS) invites applicants to apply for a Postdoc position in Computational Social Science / Semantic Urban Elements for Cyber-Physical Cities. The Researchis focused on:

• bringing modelling and computer simulation of social processes and transportation phenomena together with technology, experimental, and data-driven work,
• combining the perspectives of different scientific disciplines (e.g., social science, computer science, complexity science and sociophysics),
• bridging fundamental and applied work,
• developing digital tools to support people and studying the resulting behaviour.

You will contribute to an ambitious international research project on Semantic Urban Elements for Cyber-Physical Cities in close collaboration with Singapore. The project asks how geo-data science, Semantic Web Technologies (SWT) applied to urban design and Computational Social Science approaches can be harnessed to achieve sustainable, resilient, and liveable cities. We are involved in a Work Package on smart elements and adaptable infrastructures.

For Postdocs, the initial contract would usually last for 2 years and maybe later extended.

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

• Excellent research background in traffic modelling and simulation, computational social science, complexity science, computer science, data science, and/or socio-physics, with a strong international publication track record in one of the areas mentioned above. Please provide links to your bachelor's, master's, PhD thesis and any further publications you may have. For the successful production of the required project deliverables, you should be creative and proactive, and show leadership.
• Excellent scientific and computational skills, English language skills, social skills, and international experience. We expect you to appreciate collaborating in a diverse, interdisciplinary, and multicultural team to jointly and systematically address grand scientific challenges.
• A background in traffic physics, agent-based simulation, or traffic engineering and experience with machine learning would be favourable. To work with and expand existing simulation frameworks, you should be advanced in programming, data analysis and simulating with a language such as Python, Java, or C++.
• If applicable, please indicate, whether you are also skilled and willing to develop a software platform of reasonable complexity or a smartphone app, or able to develop parallel code for parallel processing on supercomputers, and what software environments you are using for this.

ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.

We look forward to receiving your online application by May 1st, 2022 with the following documents:

• Short motivational letter,
• Detailed CV,
• List of publications,
• Detailed exam documents (A-levels, bachelor, master or diploma and PhD diploma),
• 2 to 3 letters of recommendation (or contact details of referees).

Interviews are expected to take place mainly in May 2022. The possible contract would start in summer or autumn 2022.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered or answered.

Further information about COSS can be found on our website www.coss.ethz.ch . Questions about the position should be directed to our office manager, email: [email protected] (no application via email, please).