PhD Student: Artificial Intelligence in Solar Cell Materials Research

RISE, in partnership with Uppsala University, is leading a new interdisciplinary research project at the frontiers of materials science and artificial intelligence (AI).

In this project, we will integrate AI technologies into a materials science research context, with the aim to accelerate the development and optimization of new, high performance solar cell materials.

At RISE, we have a long track record using cutting edge research and technology in AI to solve real world problems. In the center for Applied AI, we perform state of the art research in a wide range of AI topics. We are now looking for a dedicated PhD student to develop AI solutions that support advancements in materials exploration, for the area of sustainable energy materials. Does this sound interesting? We now have an open position in Stockholm, Sweden.

Project Description
The aim of the project is to significantly accelerate the process of evaluating new solar cell materials, with the potential to generate disruptive discoveries in the wider energy materials sector. As a PhD student, you will work in close collaboration with senior researchers at both RISE and Uppsala University. The work includes optimizing complex synthesis processes in high dimensional parameter spaces, enabling more rapid data-generation, and developing AI-led workflows for more efficient use of experimental resources. A selection of AI methods will be employed depending on the task. The specific planned objectives include: (i) incorporating automatic control and fast-feedback measurements into existing laboratory procedures, (ii) identifying suitable algorithms and data curation approaches to optimize material fabrication processes, and (iii) testing and evaluating these methodologies against existing processes and with previously unstudied materials.

The selected candidate will be employed by RISE as an institute PhD for the duration of the study, and the research time will be equally split between RISE and Uppsala University. The position is for four years and may be extended by department duties at one or both locations (at most 20%). The PhD education also includes participation in relevant courses.

Who are you?
As a candidate for this PhD position, you must hold a Master of Science degree in computer science, Engineering Physics, Engineering Mathematics, or similar, specializing in machine learning. Proficiency in oral and written English is a further requirement. Experience with the practical application of AI is an advantage. Knowledge of mathematical statistics or Bayesian methods is also an advantage. Although not a requirement, any experience in a materials science and engineering context will be considered a merit. Very good programming skills in at least C++ and Python is required, and experience in PyTorch and/or TensorFlow is desirable. Consideration of gender balance will be made in the recruitment.

Welcome with your application!
The final application date is August 31, 2023. Your application should include: a cover letter in which you describe your motivation and relevant experience for this position, a CV, copies of relevant university degrees and transcripts, relevant publications, a copy of your Master thesis and other relevant documents. You are also encouraged to provide contact information to up to 3 reference persons as well as your earliest possible date for starting.

Want to know more?
You are welcome to contact hiring manager Stella Riad, stella.riad@ri.se, 010 228 41 67. Our union representatives are Lazaros Tsantaridis, SACO, 010 516 62 21 and Bertil Svensson, Unionen, 010-516 53 56.