Assistant Professor in Artificial Intelligence and Machine Learning
Faculty » College of Engineering
Posted Tuesday, December 8, 2020

JOB TITLE: Assistant Professor in Artificial Intelligence and Machine Learning
DIVISION:  College of Engineering
DEPARTMENT: Electrical and Computer Engineering
TYPE:  Full-time

The Assistant Professor 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.

QUALIFICATIONS: 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

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.Lawrence Technological University is an Equal Opportunity Employer

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 Consideration of applications will begin November 1, 2020 and will continue until the position is filled. Effective date of employment is August 2021

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