Postdoc in Machine learning and co-simulations for future hybrid energy system.

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 co-simulations for hybrid energy system complex, will play a vital role in the transition toward low-energy buildings and decentralized renewables in local energy communities (LEC). You will join an exciting research team and interdisciplinary EU project to develop and apply ML techniques and co-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 co-simulations methods with climate resilience modeling, 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 deliverables.

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
• Work in Stockholm, in close proximity to nature
• 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
• 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 mathematics or relevant fields. This eligibility requirement must be met no later than the time the employment decision is made.
• Track record with publications in previous field of study.
• Proven programming skills and proficiency in the use of current stat-of-art machine learning frameworks, such as Python, Tensorflow, keras, scikit-learn, etc., for developing ML applications in energy systems.                
• Proven skills in the use of data bases and graph data bases tools, such as SQL and Neo4j·
• Proven skills in Data Analytics field, with experience of writing reports about data quality, data patters and insightful facts about data.        
• Strong analytic and logic skills.
• Pedagogical experience from teaching at universities is of merit, preferably in mathematics and programming courses. In order to succeed and enjoy your role, we prefer that you have a well-documented ability to cooperate, to work independently and that you are aware about diversity- and equality issues, with particular focus on gender equality.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, 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).
• Knowledge and skills in applying ML methods and Co-simulations.
• Experience developing co-simulation platforms that integrate energy modeling with climate resilience modeling.
• Proficiency in Swedish, both spoken and written, are highly desirable as it's required in the daily work. 
• Good project management skills and ability to work independently to deliver projects.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

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

The application must include:

• CV including relevant professional experience and knowledge
• 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.
• Publication list
• Abstract of your PhD thesis
• A certificate from your previous employer that you have worked or did internship in the field of Data Analytics/Data Science
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. How you would like to collaborate with industries and increase your research impacts. 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 processing of personal data in the recruitment process.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

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.

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

1. Dr. Qian Wang, qianwang@kth.se
2. Dr. Annika Gram, Head of Department, annika.gram@byv.kth.se