Post-Doctoral Associate - Morkos

Position Summary The Postdoctoral Researcher in Manufacturing and AI will be responsible for supporting the advancement of convergent research at the intersection of artificial intelligence and manufacturing. This position will play a key role in managing ongoing projects, ensuring timely progress, and contributing to the development of new initiatives in AI-driven manufacturing processes. The Post Doc will also mentor undergraduate and graduate students, guiding them through research methodologies and professional growth. Additionally, the candidate will collaborate on the development of proposals for external funding. The role requires a proactive approach to fostering innovation, exploring new research opportunities, and promoting collaboration across industry and academic partners to push the boundaries of AI applications in manufacturing. This Post‑Doctoral position is an 18‑month position that will end May 2026. Project Management Oversee day‑to‑day operations of ongoing research projects, ensuring that milestones and deadlines are met. Coordinate with team members to allocate resources efficiently and maintain clear communication on project progress. Monitor project outcomes and adjust plans as necessary to align with the goals of the research and stakeholder expectations. Student Mentorship Mentor undergraduate and graduate students involved in the research, providing guidance on research methodologies, experimental design, and data analysis. Support students in developing their academic and professional skills, helping them to achieve personal and research goals. Foster a collaborative and inclusive learning environment that encourages student innovation and participation in AI and manufacturing research. Proposal Development Collaborate with faculty and research staff to identify funding opportunities and assist in the preparation of proposals for grants. Draft sections of proposals related to technical objectives, methodologies, and expected outcomes in the areas of AI and manufacturing. Ensure proposals align with the broader strategic goals of the research team and emphasize innovation, impact, and societal benefit. Research and Innovation Conduct independent research in AI applications within the manufacturing sector, with a focus on new approaches and technologies. Identify emerging trends and potential opportunities for integrating AI into manufacturing processes, contributing to thought leadership in the field. Develop new research initiatives that advance the project’s goals, including interdisciplinary collaborations and partnerships with industry. Collaboration and Networking Engage with academic, industry, and governmental partners to explore potential collaborations and enhance the impact of the research. Present research findings at conferences, workshops, and seminars, contributing to the dissemination of knowledge in the field of AI and manufacturing. Represent the project in professional forums to establish a network of contacts and promote the research agenda. Publication and Dissemination Prepare and submit research papers to peer‑reviewed journals and conferences in the fields of AI and manufacturing. Collaborate with team members to publish research outcomes and technical reports, ensuring that the findings contribute to the broader scientific community. Education and Experience PhD in Engineering or a related field. EEO Statement The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (View email address on click.appcast.io). #J-18808-Ljbffr University of Georgia