Associate Lecturer Visa Sponsorship Jobs in Louisiana
Associate lecturer visa sponsorship jobs in Louisiana are concentrated at research universities and community colleges across Baton Rouge, New Orleans, and Shreveport. Louisiana State University, Tulane University, and Loyola University New Orleans are among the state's most active academic employers. International candidates can pursue sponsorship through several visa pathways suited to higher education roles.
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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.
Associate Lecturer Job Roles in Louisiana
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Search Associate Lecturer Jobs in LouisianaAssociate Lecturer Jobs in Louisiana: Frequently Asked Questions
Which visa types realistically fit associate lecturer roles in Louisiana?
Associate lecturer positions at Louisiana colleges and universities can support several visa categories. The H-1B visa applies when the role requires a bachelor's degree or higher in a directly related field, qualifying it as a specialty occupation. Canadian and Mexican citizens may qualify for TN visa status under the USMCA Teacher category for college-level teaching roles. J-1 visa exchange visitor status is also common in academic settings through designated sponsor organizations. F-1 students may work during their studies under OPT if the role relates to their field of study.
Which cities in Louisiana have the most associate lecturer sponsorship jobs?
Baton Rouge leads the state for associate lecturer opportunities, driven by Louisiana State University's large faculty base and Southern University's presence. New Orleans follows closely, with Tulane University, Loyola University New Orleans, the University of New Orleans, and Xavier University of Louisiana all employing international academic staff. Shreveport supports roles at Louisiana State University Health Shreveport and Centenary College of Louisiana, making it a secondary market worth monitoring for specialized subject areas.
How to find associate lecturer visa sponsorship jobs in Louisiana?
Migrate Mate is the most direct way to find associate lecturer roles in Louisiana where employers have a verified history of sponsoring international candidates. You can search by role and state to surface positions at Louisiana universities and colleges actively filing for work visas. This saves time compared to manually reviewing individual institution career pages and helps you prioritize employers who have sponsored academic staff before.
Which companies sponsor visas for associate lecturers in Louisiana?
Louisiana's most active visa-sponsoring academic employers for lecturer-level roles include Louisiana State University, Tulane University, the University of New Orleans, Loyola University New Orleans, and Southern University. Smaller institutions such as Nicholls State University and McNeese State University also occasionally sponsor international faculty. Sponsorship activity tends to be highest in departments facing shortages in STEM fields, business, healthcare education, and foreign languages, though any department can initiate sponsorship for a qualified candidate.
Are there state-specific factors that affect associate lecturer visa sponsorship in Louisiana?
Louisiana's public university system is governed by the Board of Regents, which means budget cycles and position approvals at state schools can influence when sponsorship processes begin. Faculty hiring in Louisiana often tracks the academic calendar, with searches opening in autumn for the following academic year. The state's strong healthcare and petrochemical industries also support community college lecturers in applied technical fields, expanding sponsorship opportunities beyond traditional four-year institutions into vocational and workforce development programs.
What is the prevailing wage for sponsored associate lecturer 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.