12 days old

Assistant Professor in Artificial Intelligence and Machine Learning

Lawrence Technological University (LTU)
Southfield, Michigan
  • Jobs Rated


JOB TITLE: Assistant Professor in Artificial Intelligence and Machine Learning

COLLEGE: College of Engineering (CoE) and College of Arts and Science (CoAS)

DEPARTMENT: Electrical and Computer Engineering (ECE)

SUPERVISOR: Department Chair

Candidates must possess a PhD in Electrical and Computer Engineering or Computer Science or a closely related discipline. This position requires teaching and research expertise in the area of Artificial Intelligence or Data Science, including areas such as Data Extraction, Data Visualization, Machine Learning, Cognitive Intelligence, and Intelligent Actuators, Data Cybersecurity, Health Informatics, Medical Diagnosis, Robotic automation, Blockchain and Crypto Currency Technologies. Faculty are expected to teach at graduate and undergraduate levels, and to develop and maintain an external funded research program. Interdisciplinary collaboration with other units in the university.


The successful candidates will work on applying artificial intelligence and machine learning techniques to accelerate the design of novel methods of interest that include: (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, dSPACE platforms, ROS, MATLAB and Simulink, TensorFlow.

For consideration, applicants should possess the following qualifications or attributes:

  • An earned Ph.D. degree from an accredited university in a topic of relevance (see above),
  • An interest in established a robust and well-funded research program,
  • Experience in informatics/machine learning demonstrated by a strong publication record,
  • A strong interest in programming and computational approaches,
  • An ability to work in an interdisciplinary team,
  • An interest in working in a fast-paced research environment.

Applicants with relevant experience will be given special preference. The successful candidates will be expected to take personal initiative to structure tasks to meet project functions and author high-impact publications. The candidate will also be expected to mentor students, teach courses in relation to expertise, fulfill project administration functions, prepare research reports, and assist in proposal development. The candidate is expected to meet programmed project goals and can respond to deliverable timelines as are typical in "academia-industry" collaborative research.

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.

Applicants should submit a resume, a list of three references with contact information, and statements of teaching philosophy and research goals. Please submit materials via email to eechair@ltu.edu. Consideration of applications will begin November 1, 2020 and will continue until the position is filled. Effective date of employment is August 2021.


Jobs Rated Reports for University Professor

Posted: 2021-01-07 Expires: 2021-02-06

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Assistant Professor in Artificial Intelligence and Machine Learning

Lawrence Technological University (LTU)
Southfield, Michigan

Join us to start saving your Favorite Jobs!

Sign In Create Account
University Professor
3rd2019 - University Professor
Overall Rating: 3/199
Median Salary: $76,000

Work Environment
Very Good
Very Low
Powered ByCareerCast