Publisher
source

Fredrik Lindsten

3 months ago

PhD Position in Spatio-Temporal Machine Learning for Gas Dynamics in Urban Environments Linköping University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Sweden

University

Linköping University

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Keywords

Computer Science
Environmental Science
Mathematics
Artificial Intelligence
Air Quality Management
Uncertainty Analysis
Data Assimilation
Gas Dynamics
Statistics

About this position

Linköping University, one of Sweden's leading AI institutions, invites applications for a PhD position focused on the development of novel spatio-temporal machine learning methods. The research will address fundamental challenges in modeling and inferring gas dynamics in urban environments, with broad applications in air quality management, climate change mitigation, and emergency response. The project centers on advancing generative models for grid-based and particle-based spatio-temporal data, controlled generation methods for data assimilation, and graph-based multi-scale neural network models. Particular emphasis is placed on overcoming current limitations in modeling gas dynamics, such as computational inefficiency, inability to handle diverse sensory data, and lack of reliable uncertainty quantification.

The successful candidate will join the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science at Linköping University, collaborating closely with the Centre for Environmental and Climate Science at Lund University through the ELLIIT initiative. The project offers access to state-of-the-art computing infrastructure and a vibrant, collaborative research environment. Regular meetings and research visits between the two institutions will foster tight collaboration, with the advertised position focusing on method development and a parallel position at Lund University addressing applied aspects.

Applicants should hold a Master’s degree in machine learning, statistics, computer science, fluid mechanics, or a related field, or have completed at least 240 credits with a minimum of 60 advanced credits in relevant subjects. Equivalent experience is also considered. Strong mathematical skills, documented experience in implementing models and algorithms, a drive for fundamental research, collaborative abilities, and excellent communication skills in English are required.

The PhD position is full-time for four years, with possible extension up to five years based on teaching and institutional assignments. Salary is determined according to a locally negotiated progression, and employment benefits are provided. The starting date is by agreement. Applications must be submitted online by February 6, 2026, including a personal letter detailing suitability for the research topic. Linköping University values diversity and equal opportunities in its academic community.

For further details and to apply, visit the official application page. We look forward to receiving your application and welcoming you to our innovative research environment.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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