PhD student in integrated AI/MD for the discovery of new materials

2 weeks ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time
Project Description
  • Per- and poly-fluoroalkyl substances (PFAS) have been widely used in various industrial applications due to their favorable chemical and thermal stability, water resistance, and electrical insulation.
  • Recent evidence of adverse environmental and health effects is leading regulatory agencies to tighten restrictions on PFAS usage, urging the need for alternative compounds.
  • Manufacturers in the semiconductor industry are required to align their practices with new regulations, emphasizing the development of PFAS replacements as a crucial challenge for the future.
  • PFAS replacement compounds offer significant environmental and human health benefits by reducing their ecological impact and contamination risks.
  • Engineering new PFAS replacements is essential to safeguard human health and meet regulatory requirements while fostering innovations for a sustainable future.
  • Understanding molecular structures, chemical properties, and environmental impacts is crucial in the engineering of PFAS replacements.
Project Focus
  • A PhD candidate will work on a novel deep learning approach to predict properties of non-toxic PFAS replacement materials, integrating molecular dynamics and experimental data.
  • The research will focus on predicting toxicity, stability, and degradation pathways of these materials, crucial for sustainable semiconductor manufacturing.
About Collaboration and Department
  • The project is a collaboration between the AI Laboratory for Biomolecular Engineering and the Intel-Merck AWASES Program, aiming to accelerate sustainable semiconductor processes.
  • The AI Laboratory focuses on using machine learning and life sciences to engineer molecular systems for therapeutic and materials applications.
  • The CSE department at Chalmers University of Technology and the University of Gothenburg has a wide research span and provides high-quality education at various levels.
  • The department encourages diversity and inclusion, inviting applicants from historically excluded groups.
Responsibilities
  • Conducting doctoral research, identifying novel directions, and designing computational experiments.
  • Effectively communicating research results and receiving training for skill development.
  • Teaching at the undergraduate level and performing other corresponding duties.
  • The position offers full-time temporary employment for a maximum of 5 years, funded by the Intel-Merck AWASES program.


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