Researcher in Clouds, Climate and AI - Hiring in process/Finished, not possible to apply

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 N. 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 strong background in numerical modeling and 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

It is meriting to have:

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.

Assessment criteria and other qualifications

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 for 14 months. At the end of the employment, the results should be summarized in a written report from the researcher.

The position will start on 1 March 2022 or at a date mutually agreed.  The employment will be full-time (100% FTE).

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