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  • Faculty in Applications of Data Science…

    Old Dominion University (Norfolk, VA)



    Apply Now

    Posting Details

     

    Job Title Faculty in Applications of Data Science to Particle Accelerators (Tenure Track/Tenured)

     

    Department AI CLUSTER HIRE INITIATIVE

     

    Position Number F1052A

    Job Description

    The School of Data Science at Old Dominion University invites applicants for a tenure track/tenured position (depending on experience) in Data Science to begin in Fall 2025 as part of a multi-position hiring initiative for Applications of Data Science, Engineering, and/or Physics to Particle Accelerators. This position is expected to be made at the rank of Assistant Professor, but an appointment at a higher level will be considered for exceptionally qualified candidates. We seek faculty that will lead the development of data science/artificial intelligence (AI)/machine learning (ML) theory and applications to the broad accelerator science areas including improving existing and future accelerators, particle colliders, and light sources for fundamental research and applications in industry and medicine.

     

    The appointee will develop and maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence AI/ML and data science with focused application area to accelerator science research topics, including inverse problems in accelerator design and development, control of complex systems, uncertainty quantification in accelerator science, digital twins of accelerators, data reduction and representation learning, learning in extremely high-dimensional data, and other closely related advanced AI/ML and data science areas. Collaboration with other faculty in the School of Data Science, Physics, Engineering, as well as data scientists and accelerator scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) is expected.

    Other Responsibilities:

    + Teach undergraduate and graduate courses.

    + Advise graduate students.

    + Provide service to their department and the University.

     

    Position Type FullTime

     

    Type of Recruitment General Public

     

    Type of Recruitment General Public

    Minimum required education and/or special licenses, registrations, trainings, or certifications

    A Ph.D. or equivalent in Data Science, Computer Science, Machine Learning, Engineering, Mathematics, or a closely related field is required.

     

    Minimum required level and type of experience, knowledge, skills, and abilities

    Candidates applying for a senior faculty appointment (Associate Professor or Professor) must also have the following:

    + Academic records that merit a tenured appointment with one of the departments in the University.

    + A successful record in research and externally funded grants.

    + Demonstrated ability to interact and communicate clearly with internal and external constituencies.

    Preferred Qualifications

    Postdoctoral experience in Data Science, Machine Learning, AI or a related field, at an academic institution or one of the national labs and a strong publication record and/or experience with grant-funded research are preferred.

     

    Conditions of Employment

     

    Location Norfolk, VA

     

    Job Open Date 10/30/2024

     

    Application Review Date 12/18/2024

     

    Open Until Filled Yes

    Application Instructions

    Interested candidates must complete the online application at https://jobs.odu.edu/postings/21861, including the following:

     

    + A cover letter describing your relevant qualifications and indicating the rank you would like to be considered for.

    + A curriculum vitae.

    + A statement of teaching philosophy.

    + A statement of research interests.

    + Unofficial graduate transcripts.

    + Contact information for 3 professional references. At the appropriate time in the Search process, these individuals will be contacted by the Search Committee.

     

    Applications should be submitted by December 18, 2024 for full consideration. The positions will remain open until filled. Questions about these positions should be directed to Dr. Sebastian Kuhn ([email protected]), Chair of the Applications of Data Science, Engineering, and/or Physics to Particle Accelerators Cluster Hire.

     

    Telework Friendly No

    Equity Statement

    It is the policy of Old Dominion University to provide equal employment, educational and social opportunities for all persons, without regard to race (or traits historically associated with race including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age, veteran status, disability, political affiliation, sexual orientation or genetic information. Individuals from minoritized communities, women, veterans and individuals with disabilities are encouraged to apply.

     

    Reasonable Accommodation Request

     

    If you are an individual with a disability and require reasonable accommodation, please contact the Office of Institutional Equity & Diversity at (757) 683-3141.

    Pay Transparency Nondiscrimination Provision

    The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor’s legal duty to furnish information.

    About the College

    https://www.odu.edu/interdisciplinary-schools

    About the Department

    As one of the three academic units in the Interdisciplinary Schools at Old Dominion University, the School of Data Science is a new initiative that focuses on educating students in the rapidly growing field of data science, conducting cutting-edge research and serving as a center of AI education and research in the University community. Since its establishment in spring 2023, the school has grown to include ten core faculty members and over 80 affiliated faculty members across the campus, with wide range of active research projects from bioinformatics, web science, survey data science to scientific machine learning, explainable AI and generative AI. Faculty of the School of Data Science actively collaborate with researchers from renowned facilities such as Jefferson Lab (sponsored by Department of Energy), NASA’s Langley Research Center, Hampton Roads Biomedical Research Consortium ( HRBRC ), Brock Virginia Health Sciences ( VHS , formerly EVMS ), and ODU’s Office of Enterprise Research and Innovation ( OERI ).

     

    For more information, visit: https://www.odu.edu/datascience

     

    Posting Specific Questions

     

    Required fields are indicated with an asterisk (*).

     

    + * How did you hear about this employment opportunity?

    + The Chronicle of Higher Education (website or print)

    + Higheredjobs.com

    + DiverseJobs.com

    + InsightIntoDiversity.com

    + Jobs.Virginia.gov

    + Old Dominion University website

    + Virginia Pilot (website or print)

    + Richmond Times Dispatch (website or print)

    + Academic Keys

    + Other

    + If you selected "Other," how did you hear about this employment opportunity?

     

    (Open Ended Question)

     

    Applicant Documents

    Required Documents

    + Cover Letter/Letter of Application

    + Curriculum Vitae

    + Teaching Philosophy

    + Statement of Research Interests

    + Unofficial Graduate Transcripts

    + Contact Information for Professional References

     

    Optional Documents

     


    Apply Now



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