Researcher - Data and Al-driven Smart City Applications (# of pos: 2)

Workplace: Department of Mathematics and Statistics, Faculty of Science, Masaryk University in Brno, Czech Republic

Type of Contract: temporary position with contract until 30 September 2024 (with possible extension), non-academic

Working Hours: 1 FTE (full-time employment of 40 hours per week)

Expected Start Date: negotiable, could commence by 1 October, 2021, preferable not later than 1 January, 2022, with respect to immigration timelines for non EU candidates

Number of Open Positions: 2

Pay: CZK negotiable

EU Researcher Profile : R2

Application Deadline: 31. 8. 2021 (or until position filled)

About the Workplace

Masaryk University is the second-largest university in the Czech Republic with ten faculties, more than 5000 staff, and more than 30 000 students.

Faculty of Science MU, a proud holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results.

Department of Mathematics and Statistics at the Faculty of Science MU invites applications for a research position within the project "The Digital City''.

Job Description

Key Duties: The successful applicant(s) will join a research team created for the new project, The Digital City, led by prof. Stanislav Sobolevsky, joining MUNI from New York University.

Research topic: The multidisciplinary Digital City project will develop the Urban Data Engine and Urban Artificial Intelligence for pattern detection and modeling of urban activity with application to smart urban planning, smart transportation and energy, social and mobility network analysis etc. It will use a novel fusion of network science and deep learning techniques to address dimensionality and complexity of multi-layered interconnected big spatio-temporal data, and will explore a broad range of smart city applications in transportation, energy, urban planning, infrastructure, quantitative social science etc.

The project and the positions are open under support of a recent MASH award, with the main goal to develop a multi-disciplinary research team providing fundamental contribution in applied mathematics, computer science with smart city applications, attracting external support from ERC, Horizon Europe as well as a consortium of industrial companies and European city agencies.