Faculty Assistant/Associate -HPM- Decision Sciences & Simulation Modeling
The Department of Health Policy and Management, in collaboration with the Public Health Dynamics Laboratory (PHDL) at the University of Pittsburgh School of Public Health, seeks applications for a non-tenure stream faculty position at the rank of Assistant or Associate Professor. The Department and the PHDL are committed to the development and use of mathematical models to improve health policy and public health decisions and to advance social justice and improve the public’s health. The PHDL is a mathematical modeling laboratory that engages in modeling and simulation of current public health problems. The position is open in HPM, but the focus of this position is mathematical modeling and computational analysis of multiple problems in health and public health. The successful applicant will be a decision scientist, health services researcher, computer scientist, or simulation modeler who can collaborate on modeling research across departments and schools. We welcome and encourage applications from those who identify as members of groups that have been underrepresented in the health sciences.
Faculty members in the Department and PHDL are expected to conduct high-quality research; collaborate as appropriate across the Schools of the Health Sciences; potentially teach undergraduate or graduate courses in the Department; and mentor undergraduate, master’s, or doctoral students. In addition, faculty are expected to participate in Departmental events such as regular research seminars and serve on Departmental, School, or University committees. A quantitative research-oriented doctoral degree with a focus on decision sciences, operations research, mathematical modeling, or computer science is preferred.
The successful applicant will demonstrate a commitment to innovative research, teaching and mentoring, and service in a diverse and inclusive environment. Preferred qualifications include:
- Expertise leading innovative research using decision sciences and mathematical modeling, preferably applied to healthcare and public health problems.
- A commitment to advance the values of diversity, equity, and inclusion in public health.
- A commitment to excellence in teaching and mentoring at the undergraduate or graduate level.
- Enthusiasm for collaborative work to translate research findings to policy decisions.