Postdoc: AI for Urban Mining of Building Components
Karlstad University
Göteborgs kommun
On-site
SEK 40,000 - 50,000
Full time
14 days+
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Benefits offered by this job
Dynamic work environment
Support for research funding
Access to Swedish language courses
Job summary
A leading university in Sweden is seeking a Postdoc in Data Science for Urban Mining of Building Components. In this position, you'll develop and apply innovative data science methods to create a digital inventory of building components, supporting reuse and recycling in the urban environment. This role requires a doctoral degree in a relevant field, excellent communication skills, and experience with large datasets. Join a dynamic research team focused on sustainability and circular economy initiatives. The position offers a temporary employment for two years, with a collaborative environment in Gothenburg.
Qualifications
Doctoral degree must be completed by the time the employment decision is made.
Develop automated methods for data collection using images.
Conduct case studies to test developed methods.
Share findings in high-impact journals and conferences.
Contribute to supervision of Master’s and PhD students.
Engage in teaching at the undergraduate or Master’s level.
Support acquisition of future research funding.
Skills
Excellent written and verbal communication skills in English
Proven experience in handling and structuring large datasets
Ability to independently lead research tasks
Collaborative mindset
Education
Doctoral degree in Data Science, Industrial Ecology, Environmental Science, Civil Engineering, or Urban Studies
Tools
Python
R
GIS
Data Visualisation
Job description
A leading university in Sweden is seeking a Postdoc in Data Science for Urban Mining of Building Components. In this position, you'll develop and apply innovative data science methods to create a digital inventory of building components, supporting reuse and recycling in the urban environment. This role requires a doctoral degree in a relevant field, excellent communication skills, and experience with large datasets. Join a dynamic research team focused on sustainability and circular economy initiatives. The position offers a temporary employment for two years, with a collaborative environment in Gothenburg.