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Job ID: 200484

Assistant Professor in Artificial Intelligence and Machine Learning
Lawrence Technological University

Date Posted Nov. 29, 2022
Title Assistant Professor in Artificial Intelligence and Machine Learning
University Lawrence Technological University
Southfield, MI, United States
Department Department of Electrical and Computer Engineering
Application Deadline Open until filled
Position Start Date Available immediately
  • Assistant Professor
  • Computer Engineering
    Computer Science

Lawrence Technological University

Assistant Professor in Artificial Intelligence and Machine Learning

Academic Career & Executive Search is pleased to assist Lawrence Technological University (LTU) in its search for Assistant Professor in Artificial Intelligence and Machine Learning.

For best consideration, please apply by January 7th

This is a unique and exciting opportunity for an Assistant Professor in a 9-month, tenure-track Assistant or Associate Professor Position in the broad area of artificial intelligence and autonomous systems (AI&AS). LTU seeks a well-trained computer scientist who can rigorously apply AI&AS techniques and principles to areas such as social media algorithms, robotics, computer sensing and vision, autonomous systems and vehicles, automobile cybersecurity, blockchain technology, computational biology, genomics, and bioinformatics. The successful candidate is required to teach graduate and undergraduate courses as assigned, mentor undergraduate and graduate students, and establish a strong, externally-funded research program in his/her area of expertise. In addition, the successful candidate will also contribute to the department, college, and university functions. Because this position is in a cutting-edge discipline, the successful candidate is required to work in a highly interdisciplinary and collaborative environment across departments and colleges.


The successful candidate is required to teach graduate and undergraduate courses as assigned, mentor undergraduate and graduate students, and establish a strong, externally funded research program in his/her area of expertise. In addition, the successful candidate will also contribute to the department, college, and university functions. Because this position is a joint appointment between two colleges, the successful candidate is expected to work in a highly interdisciplinary and collaborative environment across departments and colleges. 

The successful candidate will utilize artificial intelligence and machine learning techniques to accelerate the design of novel methods including (i) regression techniques for prediction (Gaussian process regression, artificial neural network, random forest, etc.), and (ii) optimization methods (Bayesian optimization, swarm optimization, etc.), (iii) algorithms for data cleansing, outlier identification, etc., (iv) identification of relevant fingerprints/descriptors, (v) classification methods, and (vi) PLCs, industrial automation, robotics and sensor fusion. Knowledge of Allen-Bradley software, Siemens PLC software, National Instruments platforms, and dSPACE platforms, ROS, MATLAB and Simulink, TensorFlow is highly desirable. Other duties may be assigned.


  • Applicants must hold an earned doctorate in computer science or a closely related field with expertise in AI&AS and one of the aforementioned areas of study and strong software development skills. Postdoctoral experience is strongly desired.

  • Successful candidates must have a record of high-quality scholarship and demonstrate the potential in both research and teaching, commensurate with their experience.

  • Successful candidates will possess a record of, or genuine commitment to, diversity, inclusion, and equity in line with the college’s overall vision.

  • A record of engaging in interdisciplinary research or work experience in industry/government is a plus.

  • All candidates must demonstrate excellent communication skills, the potential to establish an externally-funded research program in an area of expertise, work in a collaborative environment, and the motivation to support the student-centered culture of LTU.

About the Institution

Lawrence Technological University ranks in the top tier of U.S. News & World Report's America's 2023 Best Colleges and continues to score high in the most prestigious categories including being recognized as a “Best Value Schools.” Lawrence Tech was founded as a college of engineering with only a few hundred students and a handful of faculty. Today it offers more than 100 programs in four colleges, with a total enrollment of approximately 3,000 students, and employs more than 400 full- and part-time faculty. In terms of enrollment, Lawrence Tech is among Michigan’s largest independent colleges.

In 1950, associate programs were added to Lawrence Tech’s baccalaureate offerings. In 1952 the College of Business and Information Technology was re-established, having its origins in an earlier industrial engineering curriculum. Master’s degree programs in management were launched in 1989. The College of Architecture and Design evolved in 1962 from the former architectural engineering department and in 1993 launched a Master of Architecture program. The College of Arts and Sciences was established in 1967. Master’s degree programs in engineering were begun in 1990 and in Arts and Sciences in 1997. Doctoral programs were launched in 2002. In 2011 competitive athletics returned to campus with the University’s entry into the National Association of Intercollegiate Athletics. LTU now supports 26 varsity men's and women's teams in baseball, basketball, bowling, cross country, football, golf, ice hockey, lacrosse, soccer, softball, tennis, and volleyball – and a pep band, marching band, and dance team.

The University also offers programs with partner universities in Asia, Europe, Mexico, and the Middle East.


To develop innovative and agile leaders through a student-centric learning environment and applied research embracing theory and practice.

About the College of Engineering

Lawrence Technological University (LTU) College of Engineering has been creating future leaders in engineering, science, and technology for over 80 years. We take great pride in preparing the next generation of innovative and holistic thinkers to transform technology, create solutions, and make the world a better place. Engineering at LTU is consistently ranked among the highest-rated major and highest-paying college majors.

LTU College of Engineering distinguishes its graduates by augmenting the excellent technical skills curriculum with the Entrepreneurial Minded Learning (EML) method that cultivates curiosity, connections, and creating value and Interdisciplinary Design and Entrepreneurial Application Sequence (IDEAS) that facilitates collaboration amongst students from various engineering disciplines.

College of Engineering faculty engages in scholarly work creating innovative engineering solutions for private and public funding sources as well as originating knowledge and methods in teaching and learning. Undergraduate and graduate students research opportunities enable in-depth training in the scholarly process while working on cutting edge projects in the college’s state of the art laboratories and research centers.

Engineering students can also participate in a wide range of exciting activities that elevate the learning experience, including but not limited to COOPs and Internships, student organizations, and student competition projects. The undergraduate and graduate programs are designed to qualify students for internships early in your degree program. Students go beyond lecture-based learning with personalized attention from faculty and small team collaboration and learn theory and practice with an engineering curriculum that also promotes business savvy and workforce readiness.

About the Department of Mathematics & Computer Science

In 2022, our on-line master’s program in computer science ranked 11th in the country. Students discover courses that combine theoretical computer science foundations with industry-relevant practical knowledge. LTU’s internationally recognized faculty help to guide each student. This personal attention optimizes the learning experience and enhances creativity and complex problem-solving skills.

With a unique approach to computer science education, it’s no wonder that LTU students reach the highest possible levels in their fields. LTU students publish more peer-reviewed scientific papers than most other computer science departments, including leading private and public universities.

In the end, our students begin exciting careers and in fact, a recent ranking by Yahoo showed LTU’s return on investment to be in the top 5 % of all Colleges and Universities in the USA.

MCS is excited to offer cutting edge concentrations in Actuary Science and programs in Data Science.

Living in the Area

Lawrence Tech is located in suburban Southfield, Michigan with a population of 76,000. Southfield, located in Oakland County, is ranked second in the nation for per capita income in counties with more than one million people. Attracting both young professionals and retirees, Southfield offers an urban/suburban blend with restaurants, coffee shops, shopping, museums, galleries, a zoo, and extensive parks and recreation areas with swimming pools, tennis and volleyball courts, and ice rinks. The city also offers 30 miles of cycling, hiking and nature trails, a museum; two public golf courses; and nearly 750 acres of park land.

The area offers lower cost of living, unemployment, and crime rates than the rest of the country. Higher school spending rounds out the benefits of living in Southfield.

Offering a wealth of opportunity for business and industry, more than 35% of the Global Fortune 500 as well as 63,000 businesses are located in the county.

To Apply 

For best consideration, please apply by January 7th.

To be viewed by the search firm, you must apply directly at:

Please do not email applications.

Applications will be reviewed as they are received and should include a cover letter and curriculum vita. Ideally cover letters should not exceed two pages. All applications are treated confidentially.Inquiries, referrals, and nominations are treated confidentially:

Inquiries and questions: Please send to

Nominations and referrals: Please send to

Lawrence Technological University (LTU) conducts pre-employment screening on initial candidates for all positions, which may include but is not limited to, a criminal background check, verification of academic credentials, license, certifications, and/or verification of work history.

Institution’s EEO Statement

Lawrence Technological University is an Equal Opportunity Employer.


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