Our lab is currently seeking motivated Ph.D. students with a keen interest in data mining and machine learning research. We also welcome applications from Master's and undergraduate students within USU, as well as self-funded visiting students and scholars. Applicants from underrepresented groups are particularly encouraged to apply.
Application Process
For general application procedures in the School of Computing, refer to the PhD Applications.
If you are interested in working with us, send an email to hamid.karimi@usu.edu with the following information:
- In the subject line, please include "Prospective P," where P is "PhD," "MS," or BS."
- Write a brief paragraph introducing yourself and expressing your interest in the position. We strongly recommend reviewing our publications and projects and indicating which research topic particularly interests you.
- Attach your CV or Resume.
- Attach your transcript(s).
- Include your English proficiency exam scores (TOEFL/IELTS and/or GRE) in the email, if applicable.
- If you have a Google Scholar profile, please provide the link in the email.
Criteria
- A background in computer science or related fields, such as information technology.
- A solid foundation in mathematics, including linear algebra, statistics, and calculus.
- Proficiency in programming, particularly in Python, and familiarity with relevant data analytics packages, such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, etc.
- Demonstrated ability to work effectively in a team and collaborate with diverse groups of researchers.
- Excellent written and oral communication skills, essential for presenting research findings and collaborating on projects.
- Prior experience or interest in data mining, machine learning, or related fields.
- Capacity for critical thinking and problem-solving, with an aptitude for adapting to new challenges and learning new concepts.
- Motivation, Motivation, and Motivation!