Tenured/Tenure-Track Faculty Positions in Artificial Intelligence and Machine Learning Rensselaer – IBM Research Partnership

Rensselaer Polytechnic Institute is embarking on an ambitious expansion in Computational Sciences and Engineering research and education, with a focus on creating a research cluster in the area of Artificial Intelligence (AI) and Machine Learning (ML). This is part of the multi-year joint effort between Rensselaer and IBM that involves Rensselaer faculty and IBM researchers to push the frontiers of AI and ML research and tackle key global challenges.

We seek applications from outstanding candidates at all ranks (Assistant, Associate, and Full Professor) who will build upon our existing strengths in and across these and related areas. The ideal candidates will not only develop a scientific program in AI/ML, but also will work with researchers making contributions to the use of AI and ML in addressing global challenges such as energy and the built environment, climate science, advanced manufacturing, critical infrastructure and supply chain management, the arts, and life sciences and systems biology.

As a part of this initiative, the Department of Electrical, Computer, and Systems Engineering at Rensselaer seeks applications for tenure-track and tenured faculty applications in the general areas of AI and ML. The Department is especially interested in candidates who have a demonstrated ability to pursue high impact research in applying AI and ML to real-world problems in electrical, computer, and systems engineering. ECSE applications include, but are not limited to, cybersecurity, autonomous systems, robotics, cyber-physical systems, computer system design, networked systems, computer vision, and optimization theory.

Applicants for senior tenured positions must possess an outstanding record of research accomplishment and a strong commitment to teaching.  Applicants for tenure-track Assistant Professor positions must show evidence of both emerging research distinction and a high level of dedication to teaching. At minimum, candidates must have a Ph.D. or foreign degree equivalent in computer science, engineering, or an appropriate field for their proposed research, along with the ability to demonstrate, based on their record, promise of future distinction in scholarship and education.

Successful candidates will have duties that include teaching graduate and undergraduate courses, developing and maintaining robust programs of research and scholarship, and service to their department and to Rensselaer. We seek highly collaborative applicants with strong technical vision and a focus on emerging 21st century technologies and challenges.

We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity Race/Gender/Veterans/Disability Employer.

Application Instructions:

Step 1. Qualified applicants must submit statements of research and teaching interests and a curriculum vita that includes a list of publications by using the “apply for this job” found at https://rpijobs.rpi.edu/postings/6807 . After completing a short online application, applicants will be asked to provide contact information for at least three (3) references.

Step 2: In addition, applicants must consolidate all the above documents into a single PDF document addressed to the ECSE Department Search Committee, and send it as an attachment to  jobs@ecse.rpi.edu with the subject line: "ECSE AI/ML Faculty Position”.