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Machine Learning Research Jobs in Louisiana (NOW HIRING)

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Showing results 41-60

Machine Learning Research information

What is machine learning research?

Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.

What are some common challenges faced by professionals in machine learning research and how can they be overcome?

One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.

What is the difference between Machine Learning Research vs Data Scientist?

AspectMachine Learning ResearchData Scientist
Required CredentialsAdvanced degrees (Master's/PhD) in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech, finance, healthcare, e-commerce, and more
Common Search & ComparisonYesYes

Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.

Is machine learning research a high paying job?

Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.
Infographic showing various Machine Learning Research job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Assistant, Associate, or Full Professor of Research

Baton Rouge, LA • On-site

Full-time

Posted 13 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Assistant, Associate, or Full Professor of Research
Position Type:
Faculty
Department:
LSUAM Engineering - School of Electrical and Computer Engineering (Shuangqing Wei (00007502))
Work Location:
3325 Patrick F. Taylor Hall
Pay Grade:
Academic
Job Description:
Assistant Professor of Research
40% Sponsored Research: Conduct innovative research in data-driven modeling, communications, networking, machine learning, distributed optimization, and intelligent autonomous systems for distributed maritime operations involving both surface and underwater autonomous vehicles. Design and develop mathematical models, algorithms, engineering simulations, software tools, experiments, and testing methodologies for distributed multi-agent systems, resilient communications, intelligent sensing, autonomous decision-making, and cooperative autonomous operations. Manage, oversee, and design engineering simulations, experiments, and tests, and collect and analyze data while ensuring data integrity, quality control, and research reproducibility. Maintain currency with relevant state-of-the-art technologies, equipment, systems, communications and networking methods, and machine learning techniques. Publish research findings in leading peer-reviewed journals and conferences. Work under the general direction of senior investigators while demonstrating increasing independence in research design and execution.
35% Supervise Graduate Students and Postdoctoral Researchers: Provide research supervision and technical mentoring to graduate students, postdoctoral researchers, research associates, and other research personnel. Guide research planning, technical development, experimental and simulation activities, publication preparation, sponsor deliverables, and professional development while fostering a collaborative and inclusive research environment. Provide day-to-day technical guidance to students and postdoctoral researchers in coordination with project principal investigators.
25% Research Program Development and External Funding: Identify funding opportunities and participate in developing competitive research proposals for federal agencies, industry, and other sponsors. Initiate and develop contacts and collaborations with grant and contract agencies, faculty members, industry partners, and other academic institutions to support the growth of externally funded research programs. Contribute to proposal preparation, technical planning, budgeting, project reporting, sponsor communications, and the preparation of technical reports and other research-related documentation. Contribute technical ideas, preliminary results, and written materials to collaborative proposal development.
Minimum Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline.
Specific Experience:
  • Demonstrated research accomplishments through peer-reviewed publications.
  • Evidence of the ability and potential to conduct high-quality independent and collaborative research.
  • Excellent written and oral communication skills.

Preferred Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline.
Specific Experience:
  • Postdoctoral or industrial research experience.
  • Experience participating in federally sponsored research.
  • Experience mentoring graduate or undergraduate researchers.
  • Experience contributing to research proposal development.

Associate Professor of Research
40% Sponsored Research: Conduct innovative research in data-driven modeling, communications, networking, machine learning, distributed optimization, and intelligent autonomous systems for distributed maritime operations involving both surface and underwater autonomous vehicles. Design and develop mathematical models, algorithms, engineering simulations, software tools, experiments, and testing methodologies for distributed multi-agent systems, resilient communications, intelligent sensing, autonomous decision-making, and cooperative autonomous operations. Manage, oversee, and design engineering simulations, experiments, and tests, and collect and analyze data while ensuring data integrity, control, and research reproducibility. Maintain currency with relevant state-of-the-art technologies, equipment, systems, communications and networking methods, and machine learning techniques. Publish research findings in leading peer-reviewed journals and conferences. Lead substantial research tasks or projects and coordinate technical activities across multidisciplinary teams.
35% Supervise Graduate Students and Postdoctoral Researchers: Provide research supervision and technical mentoring to graduate students, postdoctoral researchers, research associates, and other research personnel. Guide research planning, technical development, experimental and simulation activities, publication preparation, sponsor deliverables, and professional development while fostering a collaborative and inclusive research environment. Supervise graduate students, postdoctoral researchers, and research personnel, and mentor junior researchers in scholarly publication and professional development.
25% Research Program Development and External Funding: Identify funding opportunities and participate in developing competitive research proposals for federal agencies, industry, and other sponsors. Initiate and develop contacts and collaborations with grant and contract agencies, faculty members, industry partners, and other academic institutions to support the growth of externally funded research programs. Contribute to proposal preparation, technical planning, budgeting, project reporting, sponsor communications, and the preparation of technical reports and other research-related documentation. Develop and lead proposal sections or complete proposals and serve, as appropriate, as Principal Investigator, Co-Principle Investigator, or key personnel on externally funded projects.
Minimum Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline with 5 years of post Ph.D. research experience.
Specific Experience:
  • Strong and sustained record of peer-reviewed publications demonstrating research excellence.
  • Demonstrated success in obtaining or making significant contributions to externally funded research.
  • Experience supervising graduate students, postdoctoral researchers, or research personnel.
  • Excellent written and oral communication skills.

Preferred Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline with 5 years of post Ph.D. research experience.
Specific Experience:
  • Experience serving as Principal Investigator, Co-Principal Investigator, or key personnel on externally funded research.
  • Experience leading multidisciplinary research projects.
  • Established national reputation in one or more relevant research areas.
  • Experience managing project schedules, milestones, personnel, and sponsor deliverables.

Professor of Research
40% Sponsored Research: Conduct innovative research in data-driven modeling, communications, networking, machine learning, distributed optimization, and intelligent autonomous systems for distributed maritime operations involving both surface and underwater autonomous vehicles. Design and develop mathematical models, algorithms, engineering simulations, software tools, experiments, and testing methodologies for distributed multi-agent systems, resilient communications, intelligent sensing, autonomous decision-making, and cooperative autonomous operations. Manage, oversee, and design engineering simulations, experiments, and tests, and collect and analyze data while ensuring data integrity, control, and research reproducibility. Maintain currency with relevant state-of-the-art technologies, equipment, systems, communications and networking methods, and machine learning techniques. Publish research findings in leading peer-reviewed journals and conferences. Provide senior scientific and technical leadership for major sponsored research activities and coordinate research across multiple investigators, disciplines, and partner organizations.
35% Supervise Graduate Students and Postdoctoral Researchers: Provide research supervision and technical mentoring to graduate students, postdoctoral researchers, research associates, and other research personnel. Guide research planning, technical development, experimental and simulation activities, publication preparation, sponsor deliverables, and professional development while fostering a collaborative and inclusive research environment. Lead and mentor multidisciplinary teams of graduate students, postdoctoral researchers, research faculty, research associates, and technical staff.
25% Research Program Development and External Funding: Identify funding opportunities and participate in developing competitive research proposals for federal agencies, industry, and other sponsors. Initiate and develop contacts and collaborations with grant and contract agencies, faculty members, industry partners, and other academic institutions to support the growth of externally funded research programs. Contribute to proposal preparation, technical planning, budgeting, project reporting, sponsor communications, and the preparation of technical reports and other research-related documentation. Lead the development of major multidisciplinary proposals, cultivate sponsor and industry relationships, and provide management leadership for research portfolios, budgets, schedules, deliverables, personnel, and sponsor reporting.
Minimum Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline with 10 years of post Ph.D. research experience.
Specific Experience:
  • Internationally recognized record of scholarly achievement and high-impact peer-reviewed publications.
  • Sustained record of externally funded research as Principal Investigator, Co-Principal Investigator, or equivalent research leader.
  • Demonstrated experience leading multidisciplinary research programs and managing sponsored research projects.
  • Proven record of mentoring graduate students, postdoctoral researchers, and research personnel.
  • Demonstrated record of project management and proposal development.

Preferred Qualifications
Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Applied Mathematics, or a closely related discipline with 10 years of post Ph.D. research experience.
Specific Experience:
  • Experience leading large multidisciplinary research initiatives involving universities, industry, and government agencies.
  • Experience developing long-term research partnerships and strategic sponsored research programs.
  • Professional leadership through editorial service, conference organization, or leadership roles in professional societies.
  • Record of technology transition, patents, software dissemination, or other research impact.

Additional Job Description:
Special Instructions:
The Division of Electrical and Computer Engineering (ECE) in the School of Electrical Engineering and Computer Science (EECS) at Louisiana State University invites applications for a non-tenure-track Assistant, Associate, or Full Professor of Research position. The successful candidate will conduct innovative sponsored research in data-driven modeling, communications, networking, artificial intelligence, machine learning, intelligent autonomous systems, and distributed maritime operations involving both surface and underwater autonomous vehicles.
The successful candidate will join a vibrant and collaborative interdisciplinary research team consisting of faculty, research scientists, postdoctoral researchers, and graduate students from Electrical and Computer Engineering, Computer Science, Mechanical Engineering, and Mathematics. The team conducts cutting-edge research, supported by federal agencies and industry partners, in distributed multi-agent systems, autonomous maritime operations, communications, networking, machine learning, and intelligent autonomous systems. The successful candidate will have opportunities to collaborate across disciplines, contribute to large multidisciplinary research projects, and help develop innovative technologies with real-world applications.
The successful candidate is expected to contribute to the growth of externally funded research programs through high-quality research, scholarly publications, mentoring of graduate students and postdocs, and the development of competitive research proposals.
Questions regarding this position can be directed to Shuangqing Wei at swei@lsu.edu.
Due to sponsor requirements associated with federally funded research, applicants must be U.S. citizens or lawful permanent residents (Green Card holders). Applications from individuals who do not meet this requirement will not be considered.
Skills Needed:
Preferred Skills:
Posting Date:
August 27, 2026
Closing Date (Open Until Filled if No Date Specified):
February 23, 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 hea