Job Postings

Supply chain data science research positions at Northern Arizona University


Dear Colleagues,

The FEWSION supply chain and critical infrastructure data science center at NAU is hiring at all levels! Please forward this invitation along to anyone you think might benefit.

Read more and apply at: https://in.nau.edu/human-resources/current-job-openings/

Contact Dr. Ruddell, benjamin.ruddell@nau.edu, with inquiries.


Assistant or Associate Research Professor, #606632

SICCS and the FEWSION Project at Northern Arizona University seeks a non tenure track research professor at the assistant or associate level to lead research on North American supply chains and critical infrastructures, and in particular on the use of open source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and systems engineering theory and methods. The faculty member will collaborate and help lead multiple large interdisciplinary research teams who are studying this problem. Desired qualifications include a PhD in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field, along with strong quantitative, data analysis, programming, visualization, and scientific writing and communication skills.

Data Scientist, Senior #606665

Northern Arizona University in beautiful Flagstaff, Arizona seeks a Data Scientist (Senior) to lead research on North American supply chains and critical infrastructures, and in particular on the use of open-source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and related software workflow development and quantitative analysis in support of the FEWSION project, a large interdisciplinary team leading data science research for strategic supply chains and related policy. Analyzes, stores, and manages research data, including statistical analysis, informatics, and software design. Leads the obtainment, organization, analysis, and transformation of data into findings through statistical data analysis. Utilizes computer and data science concepts, computational research, and development principles to contribute to research objectives. Serves as a lead presenter of data through the use of visual representations to members of a team, including non-technology professionals. Minimum qualifications include a M.S. in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field, along with at least 4 years of relevant experience (including additional graduate training). Preferred qualifications include a Ph.D. and demonstrated excellence in data analysis, programming, visualization, and scientific writing and communication, in addition to specific experience analyzing supply chain and critical infrastructure data.

Postdoctoral Scholar, #606426

Dr. Benjamin Ruddell’s laboratory at Northern Arizona University seeks a postdoctoral researcher to perform research on North American supply chains and critical infrastructures, and in particular on the use of open source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and systems engineering theory and methods. The postdoctoral researcher will have the opportunity to develop their research and communication skills by working with multiple large interdisciplinary research teams who are studying this problem. Desired qualifications include a PhD in Computer Science, Civil Engineering, Economics, or a related field, along with strong quantitative, data analysis, programming, visualization, and scientific writing skills.

Graduate Research Assistants, multiple

Train for your Ph.D. with the FEWSION team in either the Informatics and Computing Ph.D. (in SICCS) or the Earth Sciences & Environmental Sustainability Ph.D. (in SES) at NAU. Apply by November 2022 for full consideration in either program.

https://nau.edu/ses/earth-sciences-and-environmental-sustainability-doctor-of-philosophy/

https://nau.edu/school-of-informatics-computing-and-cyber-systems/phd-informatics-and-computing/

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