As a PhD student, you will primarily dedicate time to your own research studies, which includes conducting research and completing doctoral studies. The doctoral programme, comprising 240 credits for a Degree of Doctor and 120 credits for a Degree of Licentiate, is an opportunity to study while being paid a salary in combination with work and provides a stepping stone for a career in academia.
You will be focused on advancing the understanding and application of computational materials design, materials modelling, and AI within the framework of the research project “AI-driven design of polymer-based electrode materials for sustainable battery technologies”. This project emphasizes the development of innovative polymer-based electrode materials to contribute to sustainable energy solutions. Thus, Atomistic modelling and simulations, curate data and the integration of symbolic AI and artificial neural networks to develop models to apply in the above scientific problems is at the center of the studies. The work will be carried out in close collaboration between researchers at Karlstad University, the Ångström Advanced Battery Centre and external partners in the research field. This environment will provide the PhD student with opportunities to engage in interdisciplinary research and participate in knowledge exchange with leading experts in the field.
As a PhD student, you will work independently and be prepared to contribute in various ways to the work and development of the subject and the department. Additional institutional duties, such as teaching and administration, may be added by agreement, corresponding to a maximum of 20% of full-time.
Working as a PhD student gives you great freedom to plan and organise your day. It requires commitment, personal drive and the ability to structure to achieve goals. Experienced supervisors will support you along the way. To contribute to a positive work environment and further the department’s activities, we expect you to be a present and active part of the day-to-day operations and workplace community.
This role provides an excellent opportunity to contribute to cutting-edge research at the intersection of AI, materials science, and sustainable energy while developing a robust academic and professional foundation for your future career.
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