Faculty Positions in Artificial Intelligence and Machine Learning in the Department of Electrical, Computer, and Systems Engineering

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).

We seek applications from outstanding candidates at all ranks (Assistant, Associate, and Full Professor) who will build upon our existing strengths in and across Rensselaer. 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 (ECSE) 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, computer architecture and systems design, cybersecurity, autonomous systems, robotics, cyber-physical systems, networked systems, IoT and edge computing, computer vision, and power systems.

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.

For more details, and to apply, visit https://careers.rpi.edu/en-us/job/492668.   Follow the on-screen prompts to create a short, online profile, including contact information for three (3) references.  You will then be asked to upload a CV, a letter of interest, a statement of research, a statement of teaching, and a diversity statement.  Please contact careers@rpi.edu if you need assistance with the online application process. 

Please notify the ECSE Department of the application submission and direct any questions related to the ECSE department to jobs@ecse.rpi.edu with the subject line: "ECSE AI/ML Faculty Position”.

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.