Postdoc in physical and data-driven modeling of geothermal systems - Hiring in process/Finished, not possible to apply

Job description

We offer a postdoc position for two years. The postdoc candidate will contribute to the development and implementation of mathematical models for the simulation of the heat transfer process in shallow geothermal systems for heating and cooling of buildings. The research will include both physical modeling as well as data-driven modelling approaches based on machine learning. The objective is the development of predictive models suitable to inform the operations of a controller for geothermal applications.

The work is part of an international project funded by GEOTHERMICA Era-Net, in cooperation with the network Joint Programming Platform Smart Energy Systems. The overall goal of this international project is the development and testing of an innovative controller device to improve the operation of borehole fields coupled with heat pumps, thereby reducing their energy consumption, costs, and CO2 emissions, and take advantage of the full potential of the technology.

The postdoctoral duties include:

• Development of detailed physics-based mathematical model of heat transfer in shallow geothermal systems.
• Development of surrogate models capturing the dynamics of the geothermal system using machine learning.
• Analysis of the operational data of a full-scale demo-site before and after the installation of an innovative control device.
• Writing scientific papers and technical reports.
• Actively contribute to the research group activities.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made
• Experience with mathematical modeling and their implementation into code
• Experience with programming language (Julia, Python or similar)

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Background in applied mathematics and mathematical physics
• Experience with machine learning
• Experience with training neural networks
• Teaching abilities

The candidate must be able to work in autonomy and, at the same time, possess the ability to efficiently work in a multidisciplinary, multicultural environment. This means that the candidate must possess an awareness of diversity and equal opportunity issues, with specific focus on gender equality.

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives on KTH's web page.

To apply for the position

Log into KTH's recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

1. CV including relevant professional experience and knowledge.
2. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
3. Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about the processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.