School of Architecture and Built Environment at KTH

Job description

This Postdoctoral position aims to develop advanced predictive modeling techniques to forecast energy demand accurately, optimize energy consumption, and enhance power systems' overall operation using advanced control strategies, Artificial intelligence (AI), and Machine learning (ML).

The successful candidate will have the chance to work with state-of-the-art AI algorithms and develop innovative solutions for predicting energy patterns, identifying anomalies, and recommending optimal energy management strategies. Moreover, this research will contribute to the development of intelligent systems capable of adapting to dynamic energy demand and supply scenarios, thereby improving system reliability and efficiently using available resources.

The knowledge and expertise gained from this research will contribute to resolving practical applications in various energy sectors, including renewable energy integration, smart grid management, and sustainable energy planning. The goal is to utilize control, AI, and ML to unlock new possibilities in predictive modeling for energy management and power systems engineering, ultimately paving the way for a more sustainable and efficient future.

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
  • Collaborate with top research scientists in the field of energy management

Read more about what it is like to work at KTH



  • A doctoral degree or an equivalent foreign degree in Control Systems, Computer Science or related field. This eligibility requirement must be met no later than the time the employment decision is made.
  • Proficiency (with a demonstrated track record) in Control applications and automation, AI, ML.
  • Good communication skills, and an ability to present research in both academic and non-academic venues.
  • Being able to develop and modify simulation models, implement and develop control algorithms to improve the energy system performance through programming is highly advantageous.

Personal skills

As a person, you have good collaborative skills and a good ability to work independently and will work well in an international team. You have good analytical skills and teaching abilities, as well as the ability to take your own initiatives in your work.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
  • Experience/knowledge of one or several of advanced control approaches applied to the energy systems: Model Predictive control, Adaptive control, Optimal control, Neural Network control, and Fuzzy logic control.
  • Skills in Machine learning (ML), Artificial intelligence (AI), and training neural networks.
  • Proficient in English with excellent written and verbal communication skills, enabling effective collaboration and dissemination of research findings.
  • Relevant papers in the areas of applied mathematics, operations research, or electricity markets.
  • Proven ability to work in an international team of researchers and collaborate with other team members.

    Please note that we reserve the right to ask for supplementary materials if needed during the assessment process.

    Preferably you have a good awareness of diversity and equal opportunity issues, with specific focus on gender equality.

    Great emphasis will be placed on personal skills.

Trade union representatives

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

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.

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.


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.

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.

Type of employment Temporary position
Contract type Full time
Salary Månadslön
Number of positions 1
Full-time equivalent 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number A-2023-1754
  • Sasan Sadrisadeh,
Published 03.Jul.2023
Last application date 31.Aug.2023 11:59 PM CEST

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