Tennessee Tech University
1 month ago
Fully Funded MS and PhD Opening in Mechanical Engineering, Polymer/Composites Manufacturing, and Smart Manufacturing at Tennessee Tech Tennessee Technological University in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Fully funded MS/PhD positions are advertised. The post indicates support for 1-2 graduate students; no stipend amount or tuition details are provided.
Country
United States
University
Tennessee Tech University
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About this position
Fully funded MS and PhD openings are available in the research group of Dr. Raihan Quader at Tennessee Technological University (Tennessee Tech). The positions are in Mechanical Engineering, with a PhD option in Engineering with a Mechanical Engineering concentration.
Research interests include advanced polymer/composites manufacturing, AI/ML in manufacturing and robotics, smart manufacturing and digital twins, process monitoring and control, robotics/mechatronics, and sustainable/biocomposite materials. The work combines experimental research with applied machine learning, computer vision, process optimization, and manufacturing system development.
Applicants should have a minimum undergraduate CGPA of 3.00/4.00. For PhD applicants, an MS degree is required; for the MS position, it is not required. GRE scores are requested with Quantitative ≥160, Verbal ≥148, and AWA ≥3.5. Experience with Python, microcontrollers, robotics, and ML is preferred. Candidates already in the United States are preferred, but applicants from outside the US are also encouraged.
The start term is Spring or Fall 2027, and the location is Cookeville, Tennessee, USA. To apply, email Dr. Quader with your CV, unofficial transcripts, test scores, and any publications or website link you have.
Funding details
Fully funded MS/PhD positions are advertised. The post indicates support for 1-2 graduate students; no stipend amount or tuition details are provided.
What's required
MS applicants and PhD applicants are sought for Mechanical Engineering-related graduate study. For the PhD, an MS degree is required; for the MS, it is not required. Minimum undergraduate CGPA is 3.00/4.00. GRE requirements are Quantitative ≥160, Verbal ≥148, and AWA ≥3.5. Preferred skills/experience include Python, microcontrollers, robotics/ML experience, and related preparation in experimental research, applied machine learning, computer vision, process optimization, and manufacturing systems development. Candidates already in the US are preferred, though outside candidates are encouraged to apply.
How to apply
Email [email protected] with the subject line "MS or PhD applicant – Your name – Spring or Fall 2027". Include your CV, unofficial transcripts, test scores, publications if any, and a website link if available.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.