Wegmans Hall, University of Rochester

Thank you for your interest in joining the Goergen Institute for Data Science team. We are currently hiring for the following position(s):

Tenure-Track Assistant Professor in Data Science

The University of Rochester seeks applicants for a tenure-track assistant professor in data science, a strategic area of growth for the University. This will be a joint appointment between the Goergen Institute for Data Science (GIDS) and another University of Rochester department that best aligns with the applicant’s research & teaching vision and that will serve as the tenure home. The hired candidate will have the opportunity to supervise PhD, Master’s, and undergraduate students both at their tenure home department and at GIDS. We are eager to hire in optimization theory and methods with data science applications to machine learning (ML), artificial intelligence (AI) and beyond, including online, distributed, and federated learning; optimization and generalization in overparameterized deep neural networks; reinforcement learning, autonomy, and decision making. Exceptional candidates in all areas of data science are encouraged to apply. Candidates must have (or be about to receive) a doctorate in computer science, data science, electrical and computer engineering, operations research, applied mathematics, economics, statistics, or a related discipline.

The Goergen Institute for Data Science (GIDS) was founded in 2015 as part of the University of Rochester’s $100 million commitment to making data science its top research priority. The Institute serves as a hub for interdisciplinary data science research, interdepartmental data science academic programs, and collaborations with industry. GIDS is housed in the newly constructed Wegmans Hall, a brand-new, 58,000-square-foot building completed in 2017. The Institute offers Bachelor of Arts, Bachelor of Science, and Master of Science degrees, as well as an Advanced Graduate Certificate program in data science for professionals. A Doctoral degree in data science is undergoing the formal approval process, with a first cohort of students expected in 2024. Eighty-five faculty members from a variety of disciplines across the campus are affiliated with GIDS. Areas of expertise of these faculty members include foundations of AI and ML; health analytics and digital health; life sciences and biomedical data science; imaging science, visual science, and optics; human-data-system interfaces; AI-augmented learning and work; audio and music engineering; economics and business data analytics; computational social science; materials design; network data science; and robotics. With a unique structure, GIDS fosters industry engagement via the Center of Excellence (CoE) in Data Science. The CoE helps drive regional economic development through basic research, training, and technology development in all areas related to data science.

The University of Rochester is a private, Tier I research institution with approximately 6,600 undergraduates and 5,500 graduate students. We are deeply committed to building a more diverse and representative faculty, and strongly encourage applications from groups underrepresented in STEM and in higher education. We are actively working to improve the environment for all underrepresented groups as we strive to weave diversity, equity, and inclusion throughout the University’s mission to learn, discover, heal, and create. Anchoring the Finger Lakes region of Western New York State, the greater Rochester area is home to over a million people, and offers unsurpassed quality of life, with a thriving arts scene, excellent public schools, affordable housing, and a huge range of cultural and recreational opportunities.

Applications can be completed at the University of Rochester Faculty Recruiting website. Interested individuals should submit a cover letter, curriculum vitae, research statement, teaching statement, copies of key publications (or links to the same), and a statement of commitment to advancing equity and fostering an inclusive and diverse community in academia, including past work and future goals. Applicants must also arrange for three letters of recommendation to be submitted online.

Applications must be received by January 1, 2023 to be guaranteed full consideration.

Apply Today

The University of Rochester, an Equal Opportunity Employer, has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education.

EOE / Minorities / Females / Protected Veterans / Disabled

Data Scientist

Applications are invited for a data scientist to support a new, multi-institutional scientific program studying the flow of cerebrospinal fluid in the brain, with the hypothesis that flow is ultimately controlled by neural circuits, often via blood flow modulations. The data scientist will work as part of a Data Science Core, led by Douglas H. Kelley, Mujdat Cetin, and Jiebo Luo, all in the Hajim School of Engineering and Applied Sciences at the University of Rochester. Also employing two PhD students and part-time undergraduate researchers, the Data Core will provide integrated data storage and analysis infrastructure for the four scientific Projects and the Viral Core that together comprise the scientific program. The Data Core will also build and refine novel data analysis tools and facilitate public sharing of data and software. Diverse and large data will be produced by the Projects, including MRI imaging in humans, two-photon imaging in mice, brain-wide microscopy in mice, electrophysiological measurements in mice, vital sign measurements, computational fluid dynamics simulations, and network simulations of flow and transport through the brain. Key tasks for the data scientist include streamlining existing workflows for data pre-/post-processing and analysis, providing organized and searchable storage infrastructure, developing new statistical and machine-learning algorithms for quantitative information extraction and analysis from multi-modal brain imaging, and linking brain states to CSF flow patterns via artificial intelligence. An MS or PhD in a data-intensive field is required. Experience with imaging, large data sets, and modern ML methods is key; experience with neuroscience or other biological applications is desirable but not required. 

The data scientist will enjoy excellent resources and opportunities for collaboration. The position will be affiliated with the Goergen Institute for Data Science (GIDS, directed by Mujdat Cetin) and will involve frequent interactions with the Center for Integrated Research Computing (CIRC), making extensive use of its BlueHive computing cluster. The data scientist will benefit from close collaborative links with the four Projects, led by Maiken Nedergaard (University of Rochester), Patrick Drew (Penn State University), Laura Lewis (Boston University), and Douglas H. Kelley. Interactions with PhD students and postdoctoral researchers in the Data Core and the Projects will be direct and frequent. Optionally, the data scientist might take on a research faculty role allowing formal mentoring of PhD students. We anticipate hiring for one year, with opportunity to renew; funds are available for five years. Longer-term career opportunities may also be available (e.g., at GIDS or CIRC). 

More information is available at www.me.rochester.edu/projects/dhkelley-lab.

For full consideration, applicants should email a curriculum vitae and cover letter to d.h.kelley@rochester.edu by January 15, 2023, however applications will be considered until the position is filled.

Apply Today

The University of Rochester, an Equal Opportunity Employer, has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education.

EOE / Minorities / Females / Protected Veterans / Disabled