A detailed model of clouds will be accelerated with artificial intelligence (AI) technology so as to acquire insights into climate change. The project will simulate how climate responds to CO2 emissions.  The project will assess how climate change will affect renewable energy sources in northern Europe in future.

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Subject description
A detailed model of clouds will be accelerated with artificial intelligence (AI) technology so as to acquire insights into climate change. The project will simulate how climate responds to CO2 emissions.  The project will assess how climate change will affect renewable energy sources in northern Europe in future.

Work duties
These tasks will be performed:

• Emulate a cloud model with a deep learning neural network and implement it in a global model of climate;
• Simulate the present-day climate with validation against observations;
• Simulate future climate change;
• Estimate impacts on renewable energy sources.

Qualification requirements

Applicants must have:

• A proven fluency and experience in numerical modeling
• Knowledge of mesoscale meteorology;
• A doctoral (PhD) degree in meteorology, with a bachelor’s degree in physics or maths;
• Very good oral and written proficiency in English;
• Programming language experience in UNIX environments, such as Fortran or C.

Assessment criteria and other qualifications

It is an advantage if the applicant has documented knowledge in: – (1) mathematics, especially differential equations; (2) numerical methods and / or computer programming; and (3) physical meteorology (for example, cloud physics).

Familiarity with AI techniques and tools would be an advantage but is not essential.

In the application, applicants must provide proof of how they meet the above requirements. Consideration will also be given to good collaborative skills, drive and independence.

Terms of employment
The employment is fixed-term for 14 months. At the end of the employment, the results shall be summarized in a written report from the researcher.

The position will start on 1 August 2022 or at a date mutually agreed. The employment will be full-time.

Enquiries about the position can be made to Vaughan Phillips (vaughan.phillips@nateko.lu.se).

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:

• résumé/CV, including a list of publications,
• a general description of past research and future research interests (no more than three pages),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.

The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Science. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

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