Postdoc in Machine learning and simulations for future hybrid energy system - Hiring in process/Finished, not possible to apply

Job description

The Department of Civil and Architectural Engineering is looking for a Postdoc researcher to the Division of Constructional Engineering and Design.

Advanced digital tools, such as machine learning (ML) and demand response for hybrid energy system complex, will play a vital role in the transition toward low-energy buildings and decentralized renewals in local energy communities (LEC). You will join an exciting research team and interdisciplinary EU project to develop and apply ML techniques and dynamic simulations to optimize the operation and design of the future energy systems of LECs, such as coupling the 5th generation of district heating with building HVAC and the power grid. You will perform complex energy system simulations integrated with developed ML methods, as well as testing the developed solutions in multiple live-in-labs across Europe. You will work closely with a large number of industry partners, PhD students and other researchers to manage project deliverance. Additionally, you will also be expected to perform limited percentages of department duties, i.e., teaching, supporting PhD students, supervision of thesis students, etc.

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
• Access and engagements to large numbers of top industry networks and researchers across Europe and beyond
• Join an enthusiastic and young team to manage an exciting EU project that is cutting-edge and multidisciplinary
• Works 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, within mechanical engineering, electrical engineering, energy technology, control engineering or computer science, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• Track record with publications in applying/developing ML methods for district heating, building HVAC system and/or power grid
• Proven programming skills and proficiency in the use of current state-of-the-art machine learning frameworks, such as Python, Tensorflow, scikit-learn, etc., for developing ML applications in energy systems
• Proven skills in using energy simulation environment, such as, Trnsys, Dymola, or Modelica, etc

Preferred qualifications

• Knowledge and skills in applying emerging data processing/computing tools, in building HVAC and/or energy systems
• Experience developing simulation platforms that integrate energy modeling with ML algorithms
• Knowledge of both district heating and power grid control
• Proficiency in Swedish and English, both spoken and written, are highly desirable, since you need it for communication at daily basis
• Experience from teaching at universities

As a person we see that you have good collaborating skills both internally and externally with the industries, and that you have a great ability to work independently, and that you are aware about diversity- and equality issues, with particular focus on gender equality. You have good analytic and project management skills and ability to work independently to deliver projects.

Great emphasis will be placed on personal competency

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

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

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. After these two years, there are possibilites to continue as a Researcher.

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

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