New

Assistant Research Professor

North Carolina State University

$70,000

life insurance, flexible benefit account, paid time off

United States, North Carolina, Raleigh

May 22, 2026

Posting Information

Posting Number	PG194664EP
Internal Recruitment	No
Working Title	Assistant Research Professor
Anticipated Hiring Range	$70,000
Work Schedule	M-F 8 to 5 varies
Job Location	Raleigh, NC
Department	Mathematics
About the Department	In the Department of Mathematics at NC State University, a long tradition of excellent teaching and a supportive environment for students are paired with cutting-edge research across a broad spectrum of mathematics and its applications. Many members of the department participate in interdisciplinary programs and research groups on campus and in the broader Research Triangle community. Research strengths of the Department include the core mathematical areas of algebra, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical analysis, scientific computation, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial problems. Annual research funding exceeds $3 million, and supports numerous research assistantships for undergraduate and graduate students. More information about the department can be found at http:\\www.math.sciences.ncsu.edu. While working in this department, you will be expected to foster a supportive and welcoming environment. NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State's land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution's mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.
Wolfpack Perks and Benefits	As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone. What we offer: Medical, Dental, and Vision Flexible Spending Account Retirement Programs Disability Plans Life Insurance Accident Plan Paid Time Off and Other Leave Programs 12 Holidays Each Year Tuition and Academic Assistance And so much more! Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties	Join a collaborative, interdisciplinary research environment where you will help advance the frontiers of mathematical biology, machine learning, and scientific computing. Working closely with Kevin Flores, you will develop innovative computational and mathematical frameworks that transform complex biological data into interpretable, predictive insights. In this role, you will apply applied mathematics, deep learning, inverse methods, and scientific computing techniques to tackle complex research challenges involving heterogeneous dynamical systems with biologically and medically relevant applications. You will have the opportunity to shape emerging research directions, contribute to high-impact publications and grant initiatives, and collaborate with experts across mathematics, data science, and experimental biology. Key responsibilities will fall within the four functional areas below. Research & Computational Model Development Develop and implement advanced mathematical, statistical, and machine learning models to analyze complex biological and scientific datasets. Design interpretable dynamical systems frameworks using biologically informed neural networks (BINNs), differential equations, inverse methods, and scientific machine learning approaches. Build scalable, reproducible computational workflows and optimize code for high-performance scientific computing applications. Apply multi-task learning and data-driven modeling techniques to heterogeneous single-cell and multivariate time series data. Interdisciplinary Collaboration & Scientific Discovery Partner with interdisciplinary research teams and experimental collaborators to translate theoretical models into practical scientific applications. Contribute to the design and interpretation of perturbation experiments and high-dimensional biological data analyses. Support the identification of regulatory interactions, prediction of system-level responses, and generation of actionable scientific insights. Scholarly Contribution & Research Leadership Contribute to peer-reviewed publications, technical reports, and presentations for national and international research conferences. Participate in collaborative grant proposal development and broader research strategy initiatives focused on scientific machine learning and mathematical biology. Help foster a collaborative research culture through seminars, workshops, working groups, and cross-disciplinary training activities. Mentorship & Research Dissemination Support graduate and undergraduate student engagement in computational and interdisciplinary research activities. Contribute to the dissemination of research methods through open-source software, reproducible workflows, and collaborative knowledge-sharing initiatives. Stay current with emerging methodologies in applied mathematics, machine learning, and data science to continuously advance research capabilities. If you are excited by the opportunity to apply mathematics and machine learning to complex biological systems, thrive in highly collaborative research environments, and enjoy translating challenging scientific questions into innovative computational solutions, we encourage you to apply.
Other Responsibilities

Qualifications

Minimum Education and Experience	Ph.D. in applied mathematics, mathematical biology, computational biology, statistics, or a closely related quantitative field.
Other Required Qualifications	Demonstrated expertise in mathematical modeling of biological systems, including differential equations, stochastic models, or agent-based models. Strong record of peer-reviewed publications in applied mathematics and/or mathematical biology journals, with a minimum publication record comparable to leading early-career researchers in the field (e.g., at least 6-8 peer-reviewed articles in reputable applied mathematics, biomathematics, or interdisciplinary journals). Experience with scientific machine learning, equation learning, or data-driven modeling of dynamical systems. Proficiency in Python (or similar scientific computing languages) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). Demonstrated ability to work collaboratively in interdisciplinary teams and contribute to externally funded research projects.
Preferred Qualifications	N/A
Required License(s) or Certification(s)	N/A
Valid NC Driver's License required	No
Commercial Driver's License required	No

Recruitment Dates and Special Instructions

Job Open Date	05/22/2026
Anticipated Close Date	6/38/2026; if posting is active we are still accepting and reviewing applications
Special Instructions to Applicants	Please include a CV, cover letter, contact information for three professional references and an optional research statement.

Position Details

Position Number	00112075
Position Type	Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)	1.0
Appointment	12 Month Recurring
Mandatory Designation - Adverse Weather	Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events	Non Mandatory - Emergency Event
Department ID	170301 - Mathematics
EEO	NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.