Doctoral student in Climate Resilient Energy Modelling

Role: Doctoral student in Climate Resilient Energy Modelling
Organisation: KTH Royal Institute of Technology
Location: Stockholm, Sweden
Contract Type: Temporary, Full-time
Application Deadline: 23 Jun 2026 - 21:59 (UTC)

Job Overview
This doctoral project, based at the Division of Energy Systems, will develop new methods for planning electrification systems that remain reliable under climate hazards such as floods, droughts, heat extremes, storms, and wildfires. The goal is to embed climate-risk and resilience considerations into energy planning models and apply them to policy and planning. The project involves collaboration with external partners, including the University of Oxford and stakeholders in national governments and energy organisations. Supervision is proposed by Prof. Viktoria Martin and Dr. Daniel Adshead.

Responsibilities
- Develop new methods for planning electrification systems resilient to climate hazards.
- Embed climate-risk and resilience considerations into energy planning models.
- Apply models to policy and planning contexts.
- Collaborate with external partners, including the University of Oxford and stakeholders in national governments and energy organisations.
- Engage in international collaboration and stakeholder-oriented case studies.
- Produce open-source research outputs.
- Independently pursue research work while collaborating with others.
- Analyze and work with complex issues with a professional approach.

Requirements and Qualifications
Admission Requirements:
- Basic eligibility for postgraduate education in accordance with Swedish Higher Education Ordinance, which includes:
- A passed second cycle degree (e.g., 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
- Substantially equivalent knowledge acquired within or outside the country.
- Previous degree or equivalent knowledge in a relevant field such as energy systems, civil or environmental engineering, climate science, applied mathematics, or economic geography.
- Mandatory requirement for English equivalent to English B/6.

Selection Criteria (Preferred Qualifications):
- Goal-oriented and persevering work ethic.
- Demonstrated knowledge or experience with climate modelling and hazard datasets.
- Experience with Geographic Information Systems (GIS) modelling and spatial data handling, including tools such as QGIS or ArcGIS.
- Knowledge or experience with network analysis, system-level risk analysis, or infrastructure interdependency analysis.
- Competence with programming and reproducible analysis, especially in Python.
- Experience in climate adaptation assessment and investment appraisal.

Personal Skills:
- Good communication skills.
- Ability to work independently.
- Analytical problem-solving ability.
- Collaborative approach.

What They Offer
- Employment as a doctoral student with a monthly salary according to KTH’s Doctoral student salary agreement.
- A workplace with many employee benefits.
- Opportunity to grow and develop in a creative and dynamic environment at a leading international technical university.
- Good working conditions and attractive benefits.
- Commitment to equality, diversity, and equal opportunities.
- Contract duration: Maximum of four years for full-time doctoral education (initial position for one year, renewable for a maximum of two years at a time).
- Limited extent (maximum 20%) to perform tasks such as training and administration.

Application Instructions
Apply through KTH's recruitment system. Applications must include:
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (translated into English or Swedish if necessary; certified copies of originals).
- CV including relevant professional experience and knowledge.
- Application letter (maximum 2 pages) describing why you want to pursue research studies, your academic interests, and how they relate to your previous studies and future goals.

Contact
Daniel Adshead, adshead@kth.se