Graduate Research Assistant for Predictive Modeling (Fall 2026)

Job Title: Graduate Research Assistant for Predictive Modeling (Fall 2026) Location: UWG Recruiting Location Regular/Temporary: Temporary Full/Part Time: Part‑Time Job ID: 299863 Job Summary The Graduate Assistant will actively contribute to the work of the Computing Department by fulfilling the following responsibilities: MD Simulation and Analysis (15%): Configure and execute molecular dynamics simulation protocols using existing MD simulators on a GPU‑enabled virtual machine to reproduce hydrogen‑bond network behavior in water‑glycerol systems at supercooled temperatures. Process and interpret trajectory data, compute diffusion coefficients, quantify hydrogen‑bond lifetimes, and analyze network morphology, connectivity, and local structural heterogeneity relevant to proton transport. Machine Learning Integration (50%): Prepare simulation‑ and experiment‑derived datasets for machine learning analysis, including feature extraction from structural descriptors such as hydrogen‑bond connectivity, local density, network topology, and diffusion‑related quantities. Train, evaluate, analyze, and tune deep neural network models to predict proton mobility from molecular and structural features. Compare model performance across descriptor sets and identify which structural features are most predictive of proton transport behavior. Research Dissemination (35%): Contribute to the preparation of research outputs, including conference abstracts, posters, presentations, journal manuscripts, and internal progress reports. Assist with organizing simulation, analysis, and machine learning results into publication‑quality figures, tables, and written summaries that communicate the relationship between hydrogen‑bond network structure and proton mobility in supercooled water‑glycerol systems. Required Qualifications Be fully admitted to a graduate degree program at UWG. Students admitted provisionally are not eligible for assistantship positions. Hold a Bachelor's degree from an accredited institution. Be enrolled full‑time in a UWG graduate program during the assistantship period. Have a minimum cumulative GPA of 3.0 in all previous and current graduate coursework and remain in good academic standing. Meet eligibility requirements for employment in the United States. Preferred Qualifications The GRA should be enrolled in the graduate program in Applied Computer Science. The position requires prior experience with research projects, preferably involving scientific computing, machine learning, data analysis, simulation workflows, or computational modeling. Familiarity with (Python) programming, Linux‑based computing environments, and GPU‑enabled workflows is strongly preferred. Proposed Salary Monthly stipend of $1,000.00 per month. A tuition waiver, reducing your semester rate to $25 plus mandatory fees, as long as you are employed in your assistantship. Required Documents to Attach Current resume. Brief cover letter (no more than one page) describing interest in the research project, relevant academic or research experience, and professional goals related to the project. Explanation of how the experience would support academic development in research and how it connects to career plans after graduation. UWG Graduate School acceptance letter. Knowledge, Skills, & Abilities Strong interest in computational research, machine learning, molecular simulation, and/or scientific data analysis. Prior experience with Python, Linux environments, research projects, or GPU‑enabled computing is strongly preferred. Strong attention to detail, rigor in data handling and analysis, careful documentation, and the ability to follow research protocols accurately. Prepared to work independently after training, attend regular research meetings, and contribute to simulation analysis, machine learning development, and research dissemination activities. Contact Information For questions or further information about this position, please contact Dr. Ana Stanescu at View email address on click.appcast.io . Equal Employment Opportunity Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG). The Board of Regents prohibits discrimination on the basis of an individual's age, color, disability, genetic information, national origin, race, religion, sex, or veteran status. No individual shall be excluded from participation in, denied the benefits of, or otherwise subjected to unlawful discrimination, harassment, or retaliation under any USG program or activity because of the individual's protected status; nor shall any individual be given preferential treatment based on protected status, except that preferential treatment may be given on the basis of veteran status when appropriate under federal or state law. #J-18808-Ljbffr Inside Higher Ed