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Job ID: 236314

Assistant Professor in Artificial Intelligence and Machine Learning
Lawrence Technological University


Date Posted May 20, 2024
Title Assistant Professor in Artificial Intelligence and Machine Learning
University Lawrence Technological University
Southfield, MI, United States
Department Electrical and Computer Engineering (ECE) and Mathematics and Computer Science (MCS)
Application Deadline Open until filled
Position Start Date August 2024
 
 
  • Assistant Professor
    Associate Professor
  • Robotics
    Computer Engineering
    Computer Science
 
 

SUMMARY: Lawrence Technological University in Southfield, Michigan, is seeking to hire a tenure-track Assistant and/or Associate Professor in the broad area of artificial intelligence and machine learning to be appointed jointly in the Department of Electrical and Computer Engineering (College of Engineering) and Department of Mathematics and Computer Science (College of Arts and Sciences). Candidates with expertise in, but not limited to, data visualization, machine learning, cognitive intelligence, intelligent actuators, cybersecurity, informatics, medical diagnoses, robotics, blockchain technologies are encouraged to apply.

ESSENTIAL DUTIES AND RESPONSIBILITIES:  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, dSPACE platforms, ROS, MATLAB and Simulink, TensorFlow is highly desirable.

 QUALIFICATION REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and/or EXPERIENCE:

  • Earned doctorate from an accredited university in computer engineering, computer science, or a closely related field. Postdoctoral experience is highly desirable
  • Demonstrable interest in teaching and mentoring graduate and undergraduate students
  • Interest in establishing a robust and externally-funded research program
  • Experience in artificial intelligence/machine learning demonstrated by a strong publication record
  • Strong interest in programming and computational approaches
  • Ability to work in an interdisciplinary, collaborative team
  • Interest in working in a fast-paced research environment

 OTHER SKILLS and ABILITIES: 

LANGUAGE SKILLS:  Strong written and oral communication skills in English. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.  Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.

MATHEMATICAL SKILLS:  Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume.  Ability to apply concepts of basic algebra and geometry.

REASONING ABILITY:  Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee is occasionally required to stand and walk.  The employee must frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds.  Specific vision abilities required by this job include close vision.

WORK ENVIRONMENT:  The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 HOW TO APPLY:

Interested candidates must submit a cover letter, a complete and updated resume, a statement of teaching interests and philosophy, a statement of research interests and goals, and a list of three references with contact information, Please submit materials as a single PDF file via email to eechair@ltu.edu. Consideration of applications will begin August 20, 2023 and will continue until the position is filled. Effective date of employment is negotiable.

Lawrence Technological University 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. 


  • Lawrence Technological University is an Equal Opportunity/Affirmative Action Employer.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Dr. Nabih Jaber
    Electrical and Computer Engineering
    Lawrence Technological University
    21000 W. Ten Mile Road
    Southfield, MI 48075
  •  
  • 248-204-2543
  • njaber@ltu.edu

 

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