Postdoctoral Research Associate

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The Research Associate will conduct research in their area of expertise, publish journal papers, give research presentations and assist in the overseeing and management of all research and lab activities in the IMPACT Lab within the JSNN Intelligent Materials Innovation Laboratory (IMIL) under the supervision of lab PI, Dr. Michael Curry.

In addition, the Research Associate will assist the IMPACT Lab PI Dr. Michael L. Curry in the management of student training, research activities, and usage of the Joint School’s Institute for Research Technologies (JSIRT), a state‑of‑the‑art facility with tools necessary to accelerate scientific and engineering discoveries and additional related research duties as outlined by the PI.

The Research Associate will be responsible for assisting the PI in the development and submission of data reports and presentations required by the funding agencies that sponsor/support research activities in the IMPACT Lab at JSNN.

These reports require data collection and data analysis and are required to publish the data research findings in peer‑reviewed journals and present results at scientific conferences and meetings.

The Research Associate will also be responsible for disseminating and participating in educational and outreach activities for K‑16 and mentoring undergraduate research scholars.

• Conduct research in area of expertise.
• Publish journal papers and give research presentations.
• Assist in overseeing and managing lab activities in the IMPACT Lab.
• Assist PI in managing student training and research activities.
• Utilize JSIRT facilities for research.
• Develop and submit data reports and presentations to funding agencies.
• Publish findings in peer‑reviewed journals and present at conferences.
• Disseminate and participate in educational outreach for K‑16.
• Mentor undergraduate research scholars.

• PhD in a relevant field (e.g., Computer Science, Engineering, or related discipline) completed by the start date.
• Experience with application of Algorithms, Artificial Intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience or nanoengineering.
• Experience in mentoring and training users in classroom and laboratory environments.
• Excellent communication skills.
• Strong interpersonal skills.
• Experience working in a science research facility with knowledge of equipment usage.
• Develop and evaluate AI/ML methods applied to specific problems.
• Integrate and analyze complex datasets.
• Publish and disseminate research findings.
• Collaborate with a multidisciplinary team.

• 2 or more years of experience working within a team‑driven environment.
• Demonstrated experience in excellent customer service.
• At least three years of training experience in the safe execution of research projects in a laboratory environment.
• Experience in writing standard operating procedures.
• Ability to work with researchers from broad backgrounds.
• Ability to perform research on AI/ML methods.

• Accrued Vacation and Sick Leave for Eligible Employees
• Community Service Leave
• Aetna – State Health Benefits of North Carolina
• NCFlex – Vision, Dental, Flexible Spending Account, Life Insurance and more
• 12 Paid Holidays
• Teachers and State Employees Retirement System (TSERS)
• Optional Supplemental Plans – 401k, 403b, 457b and 457
• Employee Assistance Program (EAP)
• Campus Recreation Center Discount
• University Bookstore Discount

North Carolina A&T State University is an Equal Opportunity and affirmative action employer. No one who applies or seeks employment will be denied admission to or employment at North Carolina A&T State University on the basis of race, religion, color, national origin, sex, age, disabling condition, veteran status, political affiliation, genetic information or sexual orientation and sexual identity.

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