Data Science Faculty (Multiple Positions, Open Rank, Non-Tenure Track/Tenure Track/Tenured)

Posting Details

Job Title Data Science Faculty (Multiple Positions, Open Rank, Non-Tenure Track/Tenure Track/Tenured)

Department SCHOOL OF DATA SCIENCE

Position Number F1048A1, F1049A1, F1050A1, F1051A1, F1052A1, F1053A1

Job Description

Under the leadership of President Brian O. Hemphill, Old Dominion University is pleased to announce another round of hiring for the newly established School of Data Science, featuring a unique collaboration with nearby Thomas Jefferson National Accelerator Laboratory (or JLab, a Department of Energy national laboratory) and NASA Langley Research Center (LaRC). The School of Data Science offers interdisciplinary academic programming for undergraduate, graduate, and non-degree students.

In support, ODU seeks to hire several positions who can collectively contribute to the university’s data science programming, starting in Fall 2024:

Multiple tenure track/tenured (Assistant/Associate/Full) Professors. Faculty with a strong research portfolio are especially encouraged to apply.

Multiple non-tenure track Lecturers. Faculty with a strong teaching portfolio are especially encouraged to apply.

We seek faculty members with expertise in the theory, methodology, and application of any area of data science. Working with our partners at JLab and NASA LaRC, areas of particular interest include: big data analytics, data mining, data visualization, GIS , scientific machine learning, reinforcement learning, federated learning, foundational models for science, generative models, causality discovery, data privacy and security, and quantum computing. We also seek data science faculty that will complement ODU’s areas of strategic emphasis, including: cybersecurity, coastal resilience, biomedical & health sciences, modeling & simulation, and maritime & supply chain management. Candidates with outstanding publication and grant records will be considered for Centennial Professorships.

ODU’s School of Data Science currently includes more than 150 faculty from a range of disciplines including but not limited to computer science, mathematics, statistics, engineering, psychology, criminal justice, education, business, information technology, history, and philosophy. Details are available at www.odu.edu/datascience.

One of the features of the School of Data Science is a unique collaboration with nearby national laboratories. Thomas Jefferson National Accelerator Laboratory (JLab) is the newest Department of Energy national laboratory, with a world leading emphasis on nuclear physics, employs more than 800 people, and its mission includes “to provide forefront scientific facilities, opportunities and leadership essential for discovering the fundamental structure of nuclear matter”. The Department of Energy has just recently selected JLab for its new High Performance Data Facility Hub ( HPDF ), which will be a $300-500 million computing and data infrastructure resource that will provide transformational capabilities for data analysis, networking, and storage for the nation’s research enterprise. NASA Langley Research Center (LaRC) is the oldest NASA center, employs more than 3,400 people, and “works to make revolutionary improvements to aviation, expand understanding of Earth’s atmosphere and develop technology for space exploration.” We plan to select researchers from JLab and LaRC to have faculty roles in the new School.

In addition, a new Joint Institute for Advanced Computing in Health and Climate Studies also has been established between ODU and JLab (with opportunities for collaboration with LaRC) to address resilience and population health challenges in southeastern Virginia and beyond through a combination of cutting-edge computational approaches and community-engaged participatory research. The Commonwealth of Virginia has also approved the merger of Eastern Virginia Medical School ( EVMS ) with ODU , which will take place in 2024 and provide ODU with collaboration opportunities in Medicine and Health Sciences.

Emphasis will be placed on candidates who will be able to work across all these institutions and collaborate with researchers at the two national laboratories.

Position Type FullTime

Type of Recruitment General Public

Type of Recruitment General Public

Minimum Qualifications – knowledge, skills, and abilities

All successful applicants are expected to have:

A strong vision for their vibrant research programs;

Commitments to leadership in the area of data science; and

Commitments to excellence and innovation in education.

Associate/Full Professor candidates must have:

Academic records that merit a tenured appointment in one of the academic departments within the University.

A successful record in research and grant writing and the ability to interact and communicate clearly with internal and external constituencies.

Assistant Professor candidates must have:

Promising academic records that align with the data science interests of one of the academic departments within the University, with a clear plan to establish a successful record in research and grant writing

The ability to interact and communicate clearly with internal and external constituencies.

Lecturer candidates must have the ability to teach a range of undergraduate data science related courses.

Minimum Qualifications – Education or training

Applicants for the tenured / tenure-track positions should possess an appropriate terminal degree and an academic record commensurate with their time in the field.

Applicants for the lecturer positions should possess at least an MS in a data science-related field and teaching record commensurate with their time in the field.

Minimum Qualifications – Special licenses, registration or certification

Preferred Qualifications

For tenure track/tenured positions, preference will be given to candidates whose expertise aligns with partnering research laboratories and are able to conduct research and teach in an interdisciplinary environment.

For Lecturer positions, preference will be given to faculty able to teach in an innovative and interdisciplinary environment, including online and hybrid courses.

Conditions of Employment

Location Norfolk, VA

Job Open Date 11/13/2023

Application Review Date 01/15/2024

Open Until Filled Yes

Special Instructions to Applicants / Additional Materials Required

Interested candidates should visit https://jobs.odu.edu/postings/19771 to submit:

A letter of application that clearly specifies which position they are applying for

A curriculum vitae;

A statement of teaching philosophy;

Unofficial graduate transcripts; and

Contact information for four professional references. If your application progresses in the search, the application site will request confidential recommendation letters from these individuals.

Applicants for the tenure track/tenured positions must also include a statement addressing research activities, future research plans, and how they would support Data Science at ODU .

For additional information regarding the position, please contact Dr. Michael L. Nelson, Data Science Faculty Search Committee Chair. The review of applications will begin January 15, 2024, and the positions will remain open until they are filled.

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.

College Home Page

www.odu.edu

Department Home Page

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

Unofficial Graduate Transcripts

Contact Information for Professional References

Optional Documents

Statement of Research Interests