Assistant Professor - Protein Engineering and AI

Are you a scientist whose research is on the frontier of protein engineering by using AI? Protein engineering holds the potential for revolutionary advances in medicine, materials, and environmental remediation. However, the number of interactions in biological systems makes manual low-level design unmanageable. In recent years, the integration of protein engineering and artificial intelligence has shown potential to improve the design and construction of biological systems by employing data-driven approaches.  It is with your data driven approach that you will have the possibility to expand your research further. This could be your next new exciting career opportunity! 

Your research will employ machine learning approaches that integrate the experimental and computational design of new proteins and cellular systems with unprecedented new functions. Over time your research will develop into a strong, internationally recognized program that integrates protein engineering and AI. Examples of relevant research topics include, but are not limited to: i) machine learning assisted computational protein design and protein engineering, ii) machine learning assisted design of novel cellular functions and iii) the use of combined high-throughput and deep learning approaches to interrogate regulatory design principles. 

As a newly appointed faculty member in the Department of Biomedical Engineering (BME), you will be working in the BIOMedical Imaging & Modeling (BIM) Cluster at Eindhoven University of Technology (TU/e) and will collaborate extensively with the Chemical Biology cluster in the same department. Next to your research quality, your educational skills are very important as you will develop and teach courses at both undergraduate and graduate level. You will be involved in supervising Bachelor, Master, PDEng, and PhD candidates. 

Biomedical Engineering 

The Department of Biomedical Engineering (BME)  offers a research driven BME Bachelor program and Masters in Biomedical Engineering and Medical Engineering in its Graduate Program. Its research areas range from Molecular Bioengineering and Imaging, Biomechanics and Tissue Engineering to Biomedical Imaging and Modelling. The department has more than 800 students and up to 200 tenured and non-tenured employees. 

Institute for Complex Molecular Systems 

The Institute for Complex Molecular Systems (ICMS) is an interdisciplinary institute at the TU/e which brings excellent researchers from different areas together to promote cross-breeding of ideas across disciplines in the departments Biomedical Engineering, Applied Physics, Chemical Engineering and Chemistry, Mathematics and Computer Science, and Mechanical Engineering. The institute aims to create and study biologically relevant functional structures with the ultimate goal of understanding the complexity of life. The new faculty member will be part of the Grip of Complexity  program which focuses on fundamental research that combines experiments and data analysis with mathematical modeling, analysis and control.