Postdoctoral Training Opportunity - Machine Learning, Computer Science, Human-Computer Interaction
The Center for Advancing Safety of Machine Intelligence (CASMI) at Northwestern University seeks an exceptional candidate for a fully funded postdoctoral research position in the area of machine learning, computer science, or human-computer interaction. This position is expected to be two years in duration and begin in September 2022.
CASMI’s mission is to research the human impact of intelligent technologies and to develop best practices for the design, development, and evaluation of systems to help ensure they are safe, equitable, and beneficial. CASMI has established a research roadmap based on a foundational evaluation framework for assessing intelligent systems and supports a growing network of investigators across many fields and partner institutions advancing the research vision of operationalizing safety in machine intelligence. CASMI is a research hub that is established as a collaboration between Northwestern University’s McCormick School of Engineering and the UL Digital Intelligence Safety Research Institute, building on UL’s 128-year mission to create a safer, more secure, and sustainable future.
The postdoctoral fellow will work collaboratively on projects that address key identified research opportunities within the roadmap, in either the data, algorithm or interaction space. They also will work closely with the CASMI Director at Northwestern, Kris Hammond, Bill and Cathy Osborn Professor of Computer Science, to continue to refine, clarify and expand the framework and research roadmap. Further, because of the nature of CASMI’s model as a research hub, they will have opportunity to work alongside CASMI researchers from partner institutions across the United States as well as with Northwestern graduate students supporting CASMI research efforts.
The ideal candidate will have strong technical expertise in artificial intelligence and machine learning, and will have done specific work that has focused on addressing issues of ML in application (including but not limited to issues such as fairness, transparency, bias, explanation, accountability, trustworthiness, participatory design, etc.). Furthermore, it is key that the candidate has a holistic view and is outward facing, understanding that a large portion of the work in AI today must be centered on how it impacts individuals, societies, systems and the world.
In this role, the CASMI postdoctoral fellow will:
- Conduct independent research in collaboration with other CASMI researchers
- Lead projects with PhD students
- Work with the Director and interact with other project PIs on efforts to refine, clarify and expand the evaluation framework and research roadmap to further CASMI’s mission
- Provide insight and input on development of content and themes for CASMI workshops and events.
Requirements
A successful candidate should have a doctorate level degree in computer science, machine learning, human-computer interaction or a closely related discipline, and a research track record demonstrated with publications and open-source software. The PhD must have been obtained in the last five years or expected by the start date of the position.
Application Materials
Interested candidates are encouraged to send the following materials to casmi@northwestern.edu for consideration:
- CV
- The names of three references
- Articles that provide a representation of your work
- A statement outlining your research accomplishments, future research plan, and career ambitions, as well as how this position relates to and would further your goals.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply.