jobs IN the network science institute

Open rank tenure-track position

October 22, 2018
Boston, MA

The Network Science Institute (NetSI) is recruiting for an open rank tenure-track position. The successful candidate will have a track record using network science to study human health. Areas of study may include any aspect of health that addresses biological, social, technical, informational or geospatial systems. While the preference is for candidates with a background in network science, those using mathematical models, computational models and complex systems models are also invited to apply. Synergistic projects could involve network models from sociology to physics to study social networks, mobility patterns, healthcare outcomes, coordination of medical care, infectious disease modeling, digital epidemiology, disease networks.

This is an open rank Assistant/Associate Professor tenure-track/tenured position with teaching, research, and service responsibilities. The successful candidate will be offered a departmental tenure home commensurate with their expertise. Candidate’s research plans should extend beyond their home discipline to intersect with fields in other domains. Potential to attract external funding is expected, and a record of successful funding is required for a tenured appointment.

The candidate will be part of the Network Science Institute which provides opportunities for cutting-edge, integrative science. NetSI is dedicated to creating synergy among faculty expertise, across departments and colleges, with shared computing infrastructure, active lecture series and vibrant collaborative research opportunities. The individual filling this position will also contribute to our distinctive PhD program in Network Science, which is the only NS doctoral program in the US. Candidate should be able to show a strong commitment to developing a vigorous research program, teaching courses and providing mentorship to Network Science graduate students.

Qualifications

Candidates must have a doctorate degree in a social, biological, information or physical science field prior to start date of the appointment. Candidate must have or a demonstrated potential for externally funded Network Science related research and excellence with scholarly publications. At Northeastern, we believe that diversity, equity, and inclusion are essential components of academic excellence, and we welcome applications that address these concepts in the context of teaching, scholarship or service.

Additional Information

Northeastern University in Boston is a nationally ranked research university with a strong urban mission, a global perspective, and an emphasis on interdisciplinary scholarship and experiential learning. To apply, please go to http://www.northeastern.edu/cos/faculty-positions and click on the Faculty Positions link. Applicants will be asked to upload a letter of application, CV, a statement of current and future research interests, a teaching statement and the names and email for three referees and email for. Review of applications will begin October 15, 2018. Inquiries from potential senior candidates are welcome and may be directed to the Chair of the Search Committee, Alessandro Vespignani, Director, Network Science Institute, a.vespignani@northeastern.edu

To be considered for this position please visit our web site and apply on line at the following link: Careers@Northeastern.

View pdf job description here.

Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. Northeastern University is an E-Verify Employer.

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other jobs in network science

Postdoctoral Position in Network Resilience

December 19, 2018
Concord, MA

Located in Concord, MA, the Risk and Decision Science Team of the Engineer Research and Development Center, Environmental Laboratory, is seeking a postdoctoral researcher in the field of Network Resilience to join our team. Led by Dr. Igor Linkov, the small team engages in multi-disciplinary research and decision support related to environmental management, civil and military engineering, risk analysis, and homeland security.


The new hire will work on projects related to risk and resilience of networked systems, e.g., transportation networks, cyber-physical infrastructure systems, social networks and supply chain networks. These projects include both basic and applied research on cutting edge issues and applied decision support to a broad diversity of topic areas.

QUALIFICATIONS

The candidate must possess computational skills necessary to handle large-scale datasets. The ideal candidate is also expected to have strong analytical skills in statistics as well as network modelling. Ideal candidates possess a Ph.D. or an equivalent degree in Physics, Mathematics, Computer Science, or within a similar field prior to the beginning of employment. The new hire must be a team player, able to multi-task, have strong written and oral communication skills, and able to publish and present work results to clients and at conferences.  


As a postdoctoral researcher, the new hire is also expected to collaborate with other team members on long and short-term projects for a variety of Federal agencies in the USA and worldwide. These projects include both basic and applied research on cutting edge issues and applied decision support related to resource management, risk and resilience in domains including environmental, infrastructural, cybersecurity, and military engineering.


The Risk and Decision Science team is based in Concord, MA, and actively collaborates with the Network Science Institute in Boston, MA, the University of Virginia, and the Naval Postgraduate School in Monterrey, CA.


To apply, send your CV, a short research statement, and contact information for at least two references to Dr. Igor Linkov (Igor.Linkov@usace.army.mil) 617-233-9869. We will start reviewing applications immediately and the position will remain open until filled.


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