4 jobs found in virginia

Endowed Chair in Shellfish Aquaculture and Program Coordinator, Associate/Full Professor The Virginia Institute of Marine Science (VIMS)/School of Marine Science of William & Mary invites applications for a full-time tenure-eligible Associate/Full Professor. The position will begin in Fall 2020. Responsibilities:  VIMS is seeking to fill an endowed faculty position, the Acuff Professorship in Marine Science, within its Department of Fisheries Science with a nationally and internationally recognized scholar whose expertise will complement our existing strengths in shellfish aquaculture and provide strategic leadership in coordinating our institute-wide Shellfish Aquaculture Program. The successful candidate will be expected to develop an extramurally-funded research program, contribute to the development of an aquaculture curriculum, participate in advisory service and outreach related to aquaculture, and provide leadership in driving the continued development and sustainability of shellfish aquaculture in the region. About the Virginia Institute of Marine Science:  Chartered in 1940, the Virginia Institute of Marine Science is currently among the largest marine research and education centers in the United States. VIMS has a three-part mission to conduct interdisciplinary research in coastal ocean and estuarine science, educate students and citizens, and provide advisory service to policy makers, industry, and the public. The School of Marine Science at VIMS is the graduate school in marine science for William & Mary. VIMS currently employs 55 full-time faculty members and 256 staff, and has 90 graduate students in master's and doctoral programs. There are four academic departments at VIMS: Aquatic Health Sciences, Biological Sciences, Fisheries Science, and Physical Sciences. Further information on VIMS and the School of Marine Science may be accessed at:  http://www.vims.edu .

Electrical and Computer Engineering Faculty Position (tenure-track) The Department of Electrical and Computer Engineering at the Virginia Military Institute (VMI) seeks applications for a full time tenure-track faculty member. In order to be considered for this position, a candidate must have a doctoral degree in electrical or computer engineering, or related discipline, and must have a strong dedication to undergraduate education. A candidate must possess a broad professional background in order to support and expand a wide variety of departmental foundation courses and sub-disciplinary elective offerings in computer engineering. Experience in machine learning, embedded systems, or robotics is preferred. The appointment will begin August 1, 2020. Applications must include a current CV, three letters of reference, and a statement that clearly addresses the candidate’s potential contributions to the department in the areas of teaching, scholarly engagement, professional citizenship, and cadet development. Review of applications will begin immediately and will continue until the position is filled. VMI is a public, four-year undergraduate military college (1,700 students) located in the historic Shenandoah Valley of Virginia. Lexington, (population 7,000) also the home to Washington and Lee University, offers a stimulating cultural atmosphere, a relaxed rural pace, and a diverse economic base to make life pleasant and rewarding. Share in Lexington’s rich heritage, while enjoying the natural beauty of the Blue Ridge Mountains. Visit http://lexingtonvirginia.com . In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, VMI encourages women, minorities, disabled individuals and veterans to apply. AmeriCorps, Peace Corps and other national service alumni are also encouraged to apply. Contact: Search Committee, Department of Electrical and Computer Engineering, Virginia Military Institute, Lexington, VA 24450. Phone: (540) 464-7236. Email: ece@vmi.edu

WEST VIRGINIA UNIVERSITY Benjamin M. Statler College of Engineering and Mineral Resources Endowed Statler Chair – Applied Artificial Intelligence      The Statler College seeks applications and nominations for a unique endowed Statler chair in the field of Applied Artificial Intelligence. The successful applicant will provide leadership to a team of researchers focused on applying artificial intelligence tools to problems in all disciplines of engineering. The successful applicant will participate as a scientific leader in a campus-wide artificial intelligence initiative that includes strong partnerships with other colleges, especially the Chambers College of Business and Economics and the WVU Health Sciences Center (HSC). Through building interdisciplinary research teams, the successful applicant will develop strong federal and industrial support for research that applies artificial intelligence.       We seek a dynamic leader with outstanding technical expertise and a proven, ongoing track record of internationally recognized scholarly accomplishments, supported by publications in prestigious journals, external funding, and a demonstrated record of leadership and collaboration with researchers. We invite such applications from candidates currently at the rank of tenured Professor or tenured Associate Professors who have demonstrated exceptional achievement and continuing promise. We also welcome candidates that have at least 5 years of equivalent experience in the private sector or national laboratories/institutes. We encourage applications from candidates that furthermore have strong technology transfer experience as demonstrated by patents and/or technology development activities. The appointment to this endowed chair will be at the rank of Professor with tenure.  The primary appointment is to be in the Lane Department of Computer Science and Electrical Engineering (LCSEE), however, depending on the research expertise and interests of the successful candidates, appointments (including dual appointments) are possible in any engineering department.       The successful applicant must hold an earned Ph.D. in computer science, engineering, or a closely related field. They must have demonstrated professional and interpersonal skills that can help build and lead interdisciplinary research teams, consortia and/or centers.       WVU is the state comprehensive Land Grant University with a main campus enrollment of about 27,000 students. WVU has a Carnegie Classification R1– Highest Research Activity. Morgantown and vicinity has a population of about 62,000 residents and is ranked among the most livable small cities in the country. The community lies within a high technology corridor that also includes several federal research facilities. The city is within reasonable driving distances from Pittsburgh, PA and Washington, D.C. Additional details on the area and university are available at https://www.morgantownwv.gov/ and http://www.wvu.edu .       The Statler College is growing and currently has eight academic departments with ~4,400 students and 130 faculty members. It is nationally recognized for high quality teaching and research, as well as for its excellent faculty and students. The Statler College has research expertise in many fields whose problems can be addressed using tools from artificial intelligence, including robotics, cybersecurity, biometrics, material science, natural resources exploration, and power systems.   Moreover, through its collaboration with WVU’s comprehensive Health Sciences Center (HSC), the College supports cutting-edge work in the fields of neuroscience and digital health. Further information is available at http://www.statler.wvu.edu .        Morgantown is a safe, inclusive, and family-friendly community. WVU provides faculty members with a supportive environment for developing a visible and productive career ( https://talentandculture.wvu.edu/new-employees ) and a range of progressive policies to support work-life integration ( https://faculty.wvu.edu/policies-and-procedures/work-life-integration ).      WVU also offers a Dual Career Program to assist partners in their career transition and job search and belongs to the OH/Western PA/WV Higher Education Recruitment Consortium ( https://www.hercjobs.org/oh-western-pa-wv ).        Applicants must apply at www.jobs.wvu.edu . A cover letter that articulates how the candidate will contribute to and lead research pertinent to the area of artificial intelligence and a CV must be included. Screening of applications will begin immediately with an aggressive schedule until the position is filled. For further information or to make nominations, contact the Search Chair, Dr. Matthew Valenti, Interim Chair of the Lane Department, by telephone (304-293-9139) or e-mail ( mvalenti@mail.wvu.edu ), or visit our website at https://www.statler.wvu.edu/       West Virginia University is an Equal Opportunity/Affirmative Action Employer and the recipient of an NSF ADVANCE award for gender equity. The University values diversity among its faculty, staff and students, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities, and veterans.

The Department of Biomedical Engineering and Mechanics (BEAM) at Virginia Tech invites applications for two tenure-track faculty positions at the assistant professor level to start in August 2020. Candidates with experience in biomechanics and/or biomaterials are particularly encouraged to apply. However, applications will also be considered from candidates with broader interests in theoretical, computational, or experimental methods to investigate biological systems at any scale from molecule to organism. The successful candidates will be responsible for mentoring graduate and undergraduate students, teaching courses at the undergraduate and graduate levels, and developing an externally funded and internationally recognized research program. 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 veteran 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.