CCAM Research Fellow in Digital Manufacturing
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Job no: 521949
Work type: Research Faculty
Senior management: College of Engineering
Department: Industrial and Systems Engineering
Location: Prince George, Virginia
Categories: Engineering, Research / Scientific
The Grado Department of Industrial and Systems Engineering (ISE) at Virginia Tech and the Commonwealth Center for Advanced Manufacturing (CCAM) invite applications for a Digital Manufacturing CCAM Research Fellow to work on collaborative teams with industry technical leaders, academic experts, and world-class researchers to develop and implement solutions for real-world challenges in advanced manufacturing. The Digital Manufacturing CCAM Research Fellow will join the VT ISE faculty in this non-tenure-track position as an Assistant, Associate, or Full Research Professor effective August 2022 and will report to the ISE Department Head. This position will be physically located at CCAM in Disputanta, Virginia. The Research Fellow will work closely with the CCAM Chief Executive Officer, assisting in identification, development, and implementation of CCAM’s digital manufacturing program in collaboration with CCAM management. An essential activity is to participate in the assessment of the program and ensure it meets research objectives and goals. We seek outstanding candidates in all areas related to digital manufacturing with specific research areas of interest, including but not limited to: digital twin methodologies, digital thread technology, cyber-manufacturing, design optimization for manufacturing, integrated factory automation, smart-sensor infrastructure, and artificial intelligence/machine learning for design and manufacturing. This position is targeted to fulfill part of a coordinated team hiring effort at Virginia Tech that spans multiple departments across the College of Engineering for a new initiative focused on the future of manufacturing. Thus, candidates will have the opportunity to work with a wide range of research groups and industry partners at the CCAM and the VT College of Engineering, including those working in the areas of advanced manufacturing, industrial analytics, operations research, decision sciences, human-machine systems, and the intelligent factory, among others. We are particularly interested in candidates with expertise that can integrate strongly with this interdisciplinary team of faculty and contribute to its growth and leadership.
Candidates are expected to lead innovative scholarship and research, develop and sustain an externally-funded research program, and serve the university and the profession. Candidates at the Research Assistant Professor level are expected to have the potential to obtain extramural funding to support research endeavors, experience working as part of a research team, and publications in peer-reviewed journals/conferences. Candidates at the Research Associate Professor and Full Research Professor level are expected to have demonstrated the ability to obtain extramural funding to support research endeavors, experience leading a research team, and demonstrated success and impact from publishing research in peer-reviewed publications.
The position requires a Ph.D. in industrial and systems engineering, mechanical engineering, electrical and computer engineering or a closely related field. The successful candidate will have the ability to access technology or intellectual property that is subject to export control requirements. The successful candidate must be able to work legally in the United States and meet the requirements of a U.S. Person as defined by U.S. export control laws and regulations (see 8 USC 1101(a)(20) and 8 USC 1324(a)(3)). The successful candidate will also be required to have a criminal conviction check.
Candidates at the Research Assistant Professor level are expected to have the potential to obtain extramural funding to support research endeavors, experience working as part of a research team, and publications in peer-reviewed journals/conferences. Candidates at the Research Associate Professor and Full Research Professor level are expected to have demonstrated the ability to obtain extramural funding to support research endeavors, experience leading a research team, and demonstrated success and impact from publishing research in peer-reviewed publications.
Preferred qualifications include experience working in industry or a research facility directly associated with digital manufacturing; interest in applied research with the objective of technology transition to industry members; ability to lead, manage and motivate research personnel to business-oriented goals; ability to manage the achievement of time, cost, and quality goals within a research and development environment; experience working across the academic/industry interface for the delivery of business- focused solutions; clear understanding of the research and development needs of industry members and the research-related needs of university partners; and ability to communicate research ideas and concepts in a business and university context at executive and technical levels.
Commensurate with experience
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
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