Dr. Mahmoud Dinar

We are seeking two driven Ph.D. students to join our team and contribute to various interrelated and intriguing research projects focused on AI-driven sustainable design and manufacturing at extreme scales. MS students are welcome. Please share this with those interested in pursuing their studies in the vibrant Charlotte community. See details below.

As a Ph.D. student, you will have the opportunity to use AI/ML and computational geometry in solving fundamental problems at the cutting-edge areas of conversational gamified design, volumetric representations of compositional manufacturing for the circular economy, and collaborative fabrication of pseudo-composites.

You should demonstrate the ability and potential to: 
– think critically and creatively
– be patient, curious, and driven
– conduct research independently and collaboratively
– communicate clearly to broad audiences and publish in top-tier journals

You also need to have a:
Master’s degree in Mechanical Engineering or computer science with an emphasis on CAD/CAM/CAPP, design and/or manufacturing
Strong academic background in math, computational geometry, knowledge representation, AI/ML, algorithms and data structures
Proficiency in at least one programming language commonly used in computational geometry and AI/ML (e.g., Python, C++)

Having any of the following skills, or a willingness to acquire them quickly makes you a strong candidate:
– Knowledge of deep learning, and Natural Language Processing methods
– Knowledge of logic, graph theory, and packing
– Hands-on experience in designing and fabricating 3D-printed assemblies
– Hands-on experience with 3D scanners
– Familiarity with digital CAD tools like Cura, meshmixer, Onshape
– Familiarity with graphic engines, e.g., Unity or Unreal
– Fondness of puzzles and games (especially Tetris!), encryption, and virtual/augmented reality
– Familiarity with empirical research methods in social sciences
– Prior publication in top-tier journals, and presentation at conferences
– Interest in other fields, e.g., economics, psychology, and philosophy of science

To apply for this position, please submit the following documents to [mdinar@uncc.edu]:
A 2-page CV highlighting your academic achievements and research experience in line with the position requirements and preferences
A 1-page cover letter explaining your interest in the position and how your skills align with the requirements and preferred skills
A copy of your transcripts
A list of references and their contact information

Shortlisted candidates will be contacted for interviews and presentations. We provide a stimulating and inclusive research environment with excellent professional growth and development opportunities. Join our team and contribute to groundbreaking discoveries in AI-driven design and manufacturing.