About the Opportunity

Northeastern University is pleased to announce multiple research faculty positions in network science offered jointly by the Network Science Institute (NetSI) and Roux Institute.  The positions are open rank, non-tenure-track research faculty positions located in the Roux, in Portland, Maine.  All topic areas within network and computational sciences will be considered, but candidates with experience in the applied fields of computational epidemiology, digital health, population and personalized health, and life sciences are encouraged to apply.

The research faculty will be responsible for building an independent research program, aligned with the Roux and Network Science Institutes. Research may include studies of infectious disease forecasting, medical outcomes, coordination of medical care, digital health, mobility patterns, disease and social networks.

The successful candidate will be appointed as a research faculty member in one or more of Northeastern’s Colleges and Departments, aligned with their background and expertise.  They will report to their disciplinary department chair in their role as a faculty member, but their primary supervisory relationships and commitments will be within Roux and NetSI’s research programs.

Responsibilities

• Develop an independent research program centered around computational and network science, in applied topics relevant to Roux Institute partners.
• Carry out basic or applied research in an area of considerable scope and complexity; analyze and publish findings.
• Build strong ties with interdisciplinary collaborators and industry, nonprofit, or government partners and actively engaging these groups in their research program.
• Prepare grant proposals, obtains sponsored funds for research
• Supervise research staff, post-docs, and graduate students; provide mentorship and training opportunities.
• Present research and participate on hiring and strategic committees, as needed.

Qualifications

PhD or other terminal degree in social, biological, information or physical science field by the appointment start date.

Demonstrated track record of scholarly achievement in relevant areas of network science, complexity science, computational epidemiology, social networks or computational social sciences, with commensurate publication and research funding history, appropriate for appointment rank.

Ability to work effectively within interdisciplinary research teams and build long-term relationships with external partners. Must have experience working independently and as a member of a team.

Excellent communication skills across diverse audiences and settings.

Entrepreneurial, energetic, and collaborative leadership skills. Ability to work in a fast-paced and innovative setting. Experience working in an industry research setting is desirable.