Postdoctoral position in Civil Engineering with specialization in Solar Forecasting - Hiring in process/Finished, not possible to apply

Project description: Within the project, models for high-resolution solar energy forecasts will be developed and applied in operation of buildings and energy systems. The models that will be developed will primarily be probabilistic forecast models based on machine learning methods. The project also includes the development and application of methods for identifying photovoltaic systems on buildings from digital aerial photographs. The project will be carried out within the research group Built Environment Energy Systems Group (BEESG) at the Department of Civil Engineering and Built Environment, but is also part of collaborations with various parties in a number of externally funded research projects. Therefore, personal suitability is important for this employment.

Tasks: Development of statistical models and machine learning models for high-resolution forecasts of solar energy in the built environment and development of methods for identifying solar cell systems on buildings from digital aerial photographs. Collaboration on research related to the urban energy system in general will also be included.

The duties as a postdoctoral fellow mainly include conducting research. Teaching can be included in the tasks, but not more than one-fifth of the working hours. The teaching mainly consists of supervision of project work.

Qualification requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree. A doctoral degree in engineering science with specialization in civil engineering and built environment is meriting. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc

Additional qualifications: The applicant must have knowledge of statistics, machine learning and forecasting methods as well as their applications, especially in the field of solar energy. Experience of developing high-resolution probabilistic and multivariate forecasting methods is an advantage.

Instructions for the application: The application must include a personal letter, CV, short description of research interests, list of publications, digital copy of the doctoral dissertation, copies of relevant grades and diplomas, as well as letters of recommendation and/or contact information for 2-3 references.

Salary: Individual salary.
 
Starting date: as agreed.

Type of employment: Temporary position according to central collective agreement.

Scope of employment: 100 %

For further information about the position please contact: Professor Joakim Widén, joakim.widen@angstrom.uu.se.

Please submit your application by 19 March 2021, UFV-PA 2021/517.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.