Teaching Professor Visa Sponsorship Jobs in Louisiana
Teaching professor visa sponsorship jobs in Louisiana are concentrated at research universities and four-year institutions including Louisiana State University in Baton Rouge, Tulane University and Loyola University in New Orleans, and the University of Louisiana system campuses. International candidates with qualifying degrees in their discipline find active hiring across STEM, humanities, and professional schools statewide.
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Get Access To All JobsJob Posting Title:
Assistant Professor of Computation Archival Science
Position Type:
Faculty
Department:
LSUAM HSE - School of Library and Information Science (Edward Albert Benoit III (00012213))
Work Location:
0221 George Peabody Hall
Pay Grade:
Academic
Job Description:
College of Human Sciences & Education
School of Information Science
Tenure-Track Assistant Professor in Computational Archival Science
Position Summary:
The School of Information Studies (SIS) in the College of Human Sciences & Education (CHSE) at Louisiana State University (LSU) invites applications for a tenure-track position at the rank of Assistant Professor in Computational Archival Science, to start in August 2027.
Computational Archival Science (CAS) is an emerging interdisciplinary field that incorporates computational methods into the creation, management, preservation, and use of records and archives. It also brings archival principles such as provenance, authenticity, integrity, and evidentiary value to data, algorithms, and AI systems. We seek a colleague who works in both directions and who will help build LSU's research strength in trustworthy digital information.
SIS invites candidates with demonstrated potential for research and teaching in one or more of the following areas:
- Machine learning, NLP, and generative AI for archival functions such as appraisal, arrangement and description, metadata creation, and access
- Born-digital, government, and large-scale records, including email, web, and social media archives
- Data integrity, authenticity, and provenance of digital records, including trustworthy and secure recordkeeping infrastructures
- Digital preservation, digital forensics, and long-term information infrastructure
- Sensitivity review, privacy, and redaction in records and archives
- AI governance and recordkeeping, including AI systems and their outputs as records
- Collections as data, linked data, knowledge graphs, and computational access to archives
- Human-centered, ethical, and community-centered approaches to automated systems in archives and memory institutions
This is a nine-month position. The teaching load is two courses per semester. Summer research funding and summer teaching may also be available. Salary will be commensurate with qualifications and experience.
Responsibilities:
The faculty member will build a funded research program in Computational Archival Science, teach across archival and computational topics, and complete professional- and university-related service.
- Research: Conduct scholarly research in Computational Archival Science that leads to publication in peer-reviewed journals and conferences. Seek external funding from agencies such as NSF, IMLS, NEH, and defense- and security-related sponsors. Build interdisciplinary partnerships across LSU and with archives, libraries, government agencies, and industry.
- Teaching: Teach and develop courses in the MLIS program, graduate certificates, and the undergraduate Digital Studies minor. Topics may include archives and records management, digital curation and preservation, and computational and AI methods for information professionals. Contribute to the School's planned growth in undergraduate and graduate programs.
- Service: Participate actively in service that advances the mission of the School, the College, and the University, and engage with professional communities.
- Other Duties Assigned
Minimum Qualifications:
- Ph.D. in Information Science or an allied field by the time of appointment. Allied fields include, but are not limited to, Archival Studies, Library and Information Science, Computer Science, Data Science, Digital Humanities, and Information Systems. Research focus in Computational Archival Science or a closely related area, applying computational methods to records and archives or archival principles to data and AI systems. Demonstrated potential for excellence in research and publication. Ability to teach graduate courses that connect archival concepts with computational methods.
Preferred Qualifications:
- A research agenda that advances LSU's Defense & Cyber priority, for example, data integrity, authenticity, provenance, secure recordkeeping, or the preservation of government and security-relevant records. Research on human-centered or responsible AI in archives, records, or memory institutions, aligned with CHSE's Human-Centered AI, Information & the Future of Learning and Work area. Evidence of a robust research agenda through a publication record and success, or clear potential for success, in obtaining external research funding. Hands-on technical expertise, such as machine learning, NLP, digital forensics, or scalable data pipelines, paired with grounding in archival theory and practice. Experience in interdisciplinary research and in partnerships with archives, libraries, museums, government agencies, or industry. Experience teaching in-person and/or online asynchronous courses, and the ability to teach both archival and computational courses.
Strategic Fit: LSU and CHSE Priorities:
This position advances LSU's research priorities and CHSE's strategic direction. The successful candidate will be expected to build these priorities through research, teaching, and partnerships.
LSU's Defense & Cyber Priority.
LSU invests in five research areas to meet Louisiana's greatest needs: Agriculture, Biotechnology, Coast & Environment, Defense & Cyber, and Energy. Trustworthy records are a foundation of national security and cybersecurity. This position contributes to Defense & Cyber through research on data integrity, authenticity, and provenance of digital records, secure and resilient information infrastructure, and the long-term preservation of government and institutional records. It also supports LSU's broader AI and data agenda.
CHSE's Human-Centered AI, Information & the Future of Learning and Work.
The position anchors this strategic area in SIS, the fastest-growing school in the College by enrollment. We welcome research that keeps people, communities, and institutional missions at the center of automated systems. Examples include evaluating AI tools for archival work, governing AI systems and their outputs as records, and preparing information professionals for AI-enabled work.
We especially welcome candidates whose work connects to LSU's other priority areas through records and data. Examples include environmental and coastal records, agricultural and rural community archives, health records, and energy-sector information.
About the LSU School of Information Studies:
The LSU School of Information Studies (SIS), a member of the iSchools consortium, is a dynamic and growing school within the College of Human Sciences & Education. For over 90 years, SIS has been at the forefront of information studies. Today it is a research-intensive school with a strong commitment to interdisciplinary collaboration and to addressing complex challenges. Our faculty hold over $2 million in active research grants from agencies including the Institute of Museum and Library Services (IMLS), the National Science Foundation (NSF), and the National Institutes of Health (NIH).
SIS is home to over 1,500 graduate students in our nationally recognized, ALA-accredited Master of Library and Information Science (MLIS) program. SIS also offers graduate certificates and an undergraduate minor in Digital Studies. Our strategic vision is to expand our research and academic programs, including new undergraduate and doctoral programs, and to grow our faculty in key areas such as data science, artificial intelligence, computational archival science, and health information.
Additional Job Description:
Special Instructions:
The appointment begins August 2027. Review of applications will continue until a candidate is selected. The initial priority review date is January 10, 2027.
Applicants should submit the following to Dr. Edward Benoit III at ebenoit@lsu.edu:
- A cover letter that addresses the position's areas and how the applicant's work advances the priorities described above
- A curriculum vitae
- A research statement
- A teaching statement
- Contact information for three references
- (Optional) Copies of 2-3 representative scholarly publications
Posting Date:
November 11, 2026
Closing Date (Open Until Filled if No Date Specified):
March 1, 2027
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.
HCM Contact Information:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.
Job Posting Title:
Assistant Professor of Computation Archival Science
Position Type:
Faculty
Department:
LSUAM HSE - School of Library and Information Science (Edward Albert Benoit III (00012213))
Work Location:
0221 George Peabody Hall
Pay Grade:
Academic
Job Description:
College of Human Sciences & Education
School of Information Science
Tenure-Track Assistant Professor in Computational Archival Science
Position Summary:
The School of Information Studies (SIS) in the College of Human Sciences & Education (CHSE) at Louisiana State University (LSU) invites applications for a tenure-track position at the rank of Assistant Professor in Computational Archival Science, to start in August 2027.
Computational Archival Science (CAS) is an emerging interdisciplinary field that incorporates computational methods into the creation, management, preservation, and use of records and archives. It also brings archival principles such as provenance, authenticity, integrity, and evidentiary value to data, algorithms, and AI systems. We seek a colleague who works in both directions and who will help build LSU's research strength in trustworthy digital information.
SIS invites candidates with demonstrated potential for research and teaching in one or more of the following areas:
- Machine learning, NLP, and generative AI for archival functions such as appraisal, arrangement and description, metadata creation, and access
- Born-digital, government, and large-scale records, including email, web, and social media archives
- Data integrity, authenticity, and provenance of digital records, including trustworthy and secure recordkeeping infrastructures
- Digital preservation, digital forensics, and long-term information infrastructure
- Sensitivity review, privacy, and redaction in records and archives
- AI governance and recordkeeping, including AI systems and their outputs as records
- Collections as data, linked data, knowledge graphs, and computational access to archives
- Human-centered, ethical, and community-centered approaches to automated systems in archives and memory institutions
This is a nine-month position. The teaching load is two courses per semester. Summer research funding and summer teaching may also be available. Salary will be commensurate with qualifications and experience.
Responsibilities:
The faculty member will build a funded research program in Computational Archival Science, teach across archival and computational topics, and complete professional- and university-related service.
- Research: Conduct scholarly research in Computational Archival Science that leads to publication in peer-reviewed journals and conferences. Seek external funding from agencies such as NSF, IMLS, NEH, and defense- and security-related sponsors. Build interdisciplinary partnerships across LSU and with archives, libraries, government agencies, and industry.
- Teaching: Teach and develop courses in the MLIS program, graduate certificates, and the undergraduate Digital Studies minor. Topics may include archives and records management, digital curation and preservation, and computational and AI methods for information professionals. Contribute to the School's planned growth in undergraduate and graduate programs.
- Service: Participate actively in service that advances the mission of the School, the College, and the University, and engage with professional communities.
- Other Duties Assigned
Minimum Qualifications:
- Ph.D. in Information Science or an allied field by the time of appointment. Allied fields include, but are not limited to, Archival Studies, Library and Information Science, Computer Science, Data Science, Digital Humanities, and Information Systems. Research focus in Computational Archival Science or a closely related area, applying computational methods to records and archives or archival principles to data and AI systems. Demonstrated potential for excellence in research and publication. Ability to teach graduate courses that connect archival concepts with computational methods.
Preferred Qualifications:
- A research agenda that advances LSU's Defense & Cyber priority, for example, data integrity, authenticity, provenance, secure recordkeeping, or the preservation of government and security-relevant records. Research on human-centered or responsible AI in archives, records, or memory institutions, aligned with CHSE's Human-Centered AI, Information & the Future of Learning and Work area. Evidence of a robust research agenda through a publication record and success, or clear potential for success, in obtaining external research funding. Hands-on technical expertise, such as machine learning, NLP, digital forensics, or scalable data pipelines, paired with grounding in archival theory and practice. Experience in interdisciplinary research and in partnerships with archives, libraries, museums, government agencies, or industry. Experience teaching in-person and/or online asynchronous courses, and the ability to teach both archival and computational courses.
Strategic Fit: LSU and CHSE Priorities:
This position advances LSU's research priorities and CHSE's strategic direction. The successful candidate will be expected to build these priorities through research, teaching, and partnerships.
LSU's Defense & Cyber Priority.
LSU invests in five research areas to meet Louisiana's greatest needs: Agriculture, Biotechnology, Coast & Environment, Defense & Cyber, and Energy. Trustworthy records are a foundation of national security and cybersecurity. This position contributes to Defense & Cyber through research on data integrity, authenticity, and provenance of digital records, secure and resilient information infrastructure, and the long-term preservation of government and institutional records. It also supports LSU's broader AI and data agenda.
CHSE's Human-Centered AI, Information & the Future of Learning and Work.
The position anchors this strategic area in SIS, the fastest-growing school in the College by enrollment. We welcome research that keeps people, communities, and institutional missions at the center of automated systems. Examples include evaluating AI tools for archival work, governing AI systems and their outputs as records, and preparing information professionals for AI-enabled work.
We especially welcome candidates whose work connects to LSU's other priority areas through records and data. Examples include environmental and coastal records, agricultural and rural community archives, health records, and energy-sector information.
About the LSU School of Information Studies:
The LSU School of Information Studies (SIS), a member of the iSchools consortium, is a dynamic and growing school within the College of Human Sciences & Education. For over 90 years, SIS has been at the forefront of information studies. Today it is a research-intensive school with a strong commitment to interdisciplinary collaboration and to addressing complex challenges. Our faculty hold over $2 million in active research grants from agencies including the Institute of Museum and Library Services (IMLS), the National Science Foundation (NSF), and the National Institutes of Health (NIH).
SIS is home to over 1,500 graduate students in our nationally recognized, ALA-accredited Master of Library and Information Science (MLIS) program. SIS also offers graduate certificates and an undergraduate minor in Digital Studies. Our strategic vision is to expand our research and academic programs, including new undergraduate and doctoral programs, and to grow our faculty in key areas such as data science, artificial intelligence, computational archival science, and health information.
Additional Job Description:
Special Instructions:
The appointment begins August 2027. Review of applications will continue until a candidate is selected. The initial priority review date is January 10, 2027.
Applicants should submit the following to Dr. Edward Benoit III at ebenoit@lsu.edu:
- A cover letter that addresses the position's areas and how the applicant's work advances the priorities described above
- A curriculum vitae
- A research statement
- A teaching statement
- Contact information for three references
- (Optional) Copies of 2-3 representative scholarly publications
Posting Date:
November 11, 2026
Closing Date (Open Until Filled if No Date Specified):
March 1, 2027
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.
HCM Contact Information:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.
Teaching Professor Job Roles in Louisiana
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Search Teaching Professor Jobs in LouisianaTeaching Professor Jobs in Louisiana: Frequently Asked Questions
Which visa types realistically fit teaching professor roles in Louisiana?
Teaching professor positions at Louisiana colleges and universities commonly support H-1B visa sponsorship, as the role qualifies as a specialty occupation requiring a directly related advanced degree. The O-1A is an option for candidates with exceptional academic recognition. Canadian and Mexican citizens may qualify for TN visa status under the USMCA Teacher category, provided they hold the required degree and the position is at a college, seminary, or university. F-1 students may work under OPT while seeking a sponsored role. Employer-sponsored EB-2 or EB-3 green card pathways are also pursued by faculty hired on a permanent basis.
Which cities in Louisiana have the most teaching professor sponsorship jobs?
Baton Rouge leads in volume due to the presence of Louisiana State University and Southern University, both large research institutions with established international faculty pipelines. New Orleans follows closely, anchored by Tulane University, Loyola University, Xavier University of Louisiana, and Dillard University. Lafayette hosts the University of Louisiana at Lafayette, which actively recruits internationally across engineering and social sciences. Smaller markets like Monroe, Shreveport, and Ruston also post teaching professor openings at regional universities within the University of Louisiana system.
How to find teaching professor visa sponsorship jobs in Louisiana?
Migrate Mate lists teaching professor positions at Louisiana institutions that have verified visa sponsorship history, letting you search specifically for roles in Baton Rouge, New Orleans, Lafayette, and other university cities. Filtering by role and state surfaces employers such as LSU, Tulane, and regional UL system campuses that have supported H-1B or TN filings for faculty. Reviewing active listings on Migrate Mate is a practical starting point for narrowing down departments and institutions aligned with your academic discipline.
Which employers in Louisiana sponsor visas for teaching professors?
Louisiana State University in Baton Rouge is among the most active sponsors of H-1B petitions for faculty in the state, particularly in engineering, agriculture, and the natural sciences. Tulane University in New Orleans has a long record of sponsoring international professors across medicine, law, and liberal arts. Southern University, the University of Louisiana at Lafayette, and Loyola University New Orleans also appear in federal labor certification filings for teaching faculty. Smaller institutions including Centenary College and Nicholls State University sponsor at lower volumes but do hire international candidates for specialized teaching roles.
Are there state-specific factors that affect teaching professor visa sponsorship in Louisiana?
Louisiana's higher education system is heavily shaped by its flagship and regional university networks, which tend to have dedicated international hiring offices familiar with H-1B and TN procedures for faculty. Fields aligned with Louisiana's research priorities, including petroleum engineering, coastal science, public health, and French-language studies, attract international faculty recruitment at institutions like LSU and Tulane. Candidates should note that community colleges in Louisiana generally do not sponsor visas, so sponsorship activity is concentrated at four-year degree-granting institutions and research universities.
What is the prevailing wage for sponsored teaching professor jobs in Louisiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.