Asst Professor-Machine Learning,AI & Data Science-Grainger Inst. for Engineering
Ph.D. in an engineering or closely related field and demonstrated excellence in research and teaching. Candidates with truly outstanding accomplishments in any area of research in Machine Learning (ML), Artificial Intelligence (AI), and Data Science (DS) will be considered for the positions.
The College of Engineering at the University of Wisconsin-Madison seeks faculty candidates for up to three tenure-track faculty positions in the areas of basic research in Machine Learning (ML), Artificial Intelligence (AI), and Data Science (DS). Strong candidates will also have experience applying their basic research experience to problems in science and engineering. Application areas of interest include (but are not limited to) imaging systems and computer vision, robotics and autonomous systems, smart and interconnected systems, sensing and controls, biomedicine, and materials science. The faculty members will be appointed as Fellows within the Grainger Institute for Engineering (graingerinstitute.engr.wisc.edu).
The Grainger Institute serves as a research incubator within the College of Engineering. The Institute fosters a trans-disciplinary research and educational environment and provides the infrastructure to address grand technological challenges. New research directions will be launched and nurtured within the Institute, with current targeted efforts focused on advanced manufacturing, energy and sustainability, biomanufacturing, neuroengineering, sensors and sensing, smart and connected healthcare, and enhancing broad computational expertise relevant to data, design, prediction, and modeling/simulation.
Candidates will have a distinguished academic record, exceptional potential in establishing a state-of-the-art research program, and a commitment to high-quality undergraduate and graduate instruction. Candidates are required to qualify for a tenure track appointment in a College of Engineering academic department.
The College of Engineering is seeking a diverse set of faculty candidates who will deepen our college's research strength in key areas of current and future research promise, as well as faculty candidates who will approach their work in a manner that advances our commitment to diversity. Candidates from groups that are traditionally under-represented in engineering are strongly encouraged to apply.