Doctoral Student In Ai - supported Decarbonization Strategies For Industries

Doctoral Student In Ai-supported Decarbonization Strategies For Industries

The School of Industrial Engineering and Management at KTH is seeking a doctoral student for a project focused on AI-supported decarbonization strategies for industries. The project aims to explore novel decarbonization pathways that leverage the integrated use of fluctuating renewable energy carriers—electricity, hydrogen, and heat—within industrial clusters. The goal is to reduce CO₂ emissions while ensuring a stable energy supply through advanced reinforcement learning methods and model-based optimization.

The project will advance short- and long-term decision-making and develop new integrated designs and operation of complex industrial sites. It is in collaboration with DTU Construct and includes planned research stays.

Supervision will be provided by Dr. Rafael Guedez, Prof. Björn Laumert, and Dr. Silvia Trevisan. The doctoral student will be part of a dynamic and international research environment in collaboration with industries and prominent universities from around the world.

The workplace offers many employee benefits and a monthly salary according to KTH’s doctoral student salary agreement. The institution is active and supportive in matters pertaining to working conditions, gender equality, diversity, and study environment.

Work and study will be in Stockholm, close to nature and the water, with guidance on relocating and settling in at KTH and in Sweden.

To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following:

• Passed a second cycle degree (for example a master's degree), or
• Completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• Acquired, in some other way within or outside the country, substantially equivalent knowledge

Completed coursework or course modules in engineering thermodynamics and heat transfer are required. Specific knowledge in thermal energy storage, techno-economic analyses, and AI tools/algorithms is a merit. There is also a mandatory requirement for English equivalent to English B/6.

To succeed as a doctoral student at KTH, candidates will need to be goal-oriented, persevering, and able to independently pursue their work, collaborate with others, have a professional approach, and analyze and work with complex issues. Great emphasis will be placed on personal skills.

The target degree is a doctoral degree. Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can perform certain tasks within their role, to a limited extent (maximum 20%).

Applications must include a CV, an application letter, copies of diplomas and grades, and representative publications or technical reports. Applications must be received by the last closing date at midnight, CET/CEST.