Postdoctoral Research Associate – Human Data Interaction/Data Visualization – Roux Institut
Listed on 2025-12-31
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Research/Development
Data Scientist
Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine
Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine
We are currently seeking two postdoctoral research fellows with an interest in data visualization and statistical graphics to complement our multidisciplinary Human-Data Interaction research team. The primary focus of our work will be information visualization, data ethics, and statistical communication. We are also interested in investigating the rhetorical and communicative aspects of data communication. The candidate will lead projects around designing and evaluating data visualization techniques for communicating statistical information, especially uncertainty information, to wide audiences.
Candidates will draw on expertise in data visualization and HCI, and employ skills in graphic design, mixed methods research, and scientific communication.
Northeastern’s Roux Institute offers an academic research environment combined with access to end-users who bring real-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and structured mentoring on topics including mentor/mentee research relationship, technology transfer, and proposal development.
This fully funded position is renewable for up to two years pending satisfactory performance. Starting date is negotiable, beginning as early as December 2024. Compensation is competitive and includes benefits. This position is in Portland, Maine.
Responsibilities:
The postdoctoral fellow will perform basic or applied research of a limited scope, primarily using existing theories and methods, and they should have the ability and desire to innovate when these are insufficient. The fellow will assist the supervisor in the interpretation and publication of results and grants, maintains the laboratory research team, and may exercise functional supervision over supporting research staff.
Primary responsibility is ensuring that the research is complete.
Key responsibilities include:
Assist in initiating, executing, and completing research and experiments.
Prepare and write research papers, presentations, grant proposals, and other research related activity.
Foster a safe, inclusive, welcoming, and collaborative environment.
Building strong ties with interdisciplinary collaborators and industry, nonprofit, or government partners and actively engaging these individuals in the research program.
Potential additional responsibilities, depending on position seniority, include assisting in laboratory management, graduate student training/advising, and co-op/intern student mentoring
Qualifications:
The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing, information or data science, or psychology by the appointment start date. Candidates must demonstrate prior research experience in data visualization, graphical perception, or human-centered design. Successful candidates should be able to undertake substantially full-time research or scholarship and work under the supervision of a senior scholar.
The successful candidate must demonstrate excellent interpersonal, verbal, and written communication skills, meticulous attention to detail, and proficiency in HCI research methodology, as well as quantitative and qualitative data analysis. Preference will be given to candidates with experience in interdisciplinary collaborations or a demonstrated potential for such collaborations, along with strong computational and analytical skills.
An ideal candidate should possess experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R…
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