Research Assistant - ECECS

Position Type: Federal Work Study And Non Work Study

Essential Duties and Responsibilities 

The research focuses on developing innovative and practical solutions to real-world challenges using modern data mining and machine learning systems. Students may be assigned to various sub-projects depending on their background and interests. 

Responsibilities include: 

• Assisting in the design and implementation of data mining (DM) and machine/deep learning (ML/DL) models.
• Preprocessing, exploring, and analyzing datasets.
• Reviewing literature and applying relevant techniques.
• Participating in weekly team meetings and contributing to documentation and reporting.
• Supporting the evaluation and testing of model performance.
   

This opportunity is especially valuable for junior or senior undergraduate Computer Science students, as it may count toward co-op or internship credit, providing a practical and academically recognized way to gain hands-on research experience

Requirements

Minimum Qualifications:

• Enrollment in a Computer Science, Electrical Engineering, or a closely related field.
• Prior coursework or experience in data mining, machine learning OR deep learning.
• Proficiency in programming and familiarity with tools and environments commonly used in data analysis, data mining, and machine/deep learning.
• Strong analytical and communication skills.

Preferred Qualifications:

• GPA of 3.4 or higher.
• Proficiency in Python and familiarity with data manipulation libraries such as Pandas or NumPy.
• Hands-on experience with DM and ML frameworks.
• Exposure to project-based learning or research in AI/ML.
• Interest in applying DM and ML techniques to real-world or interdisciplinary problems.

Anticipated Schedule: 

• Up to 35 hours per week.

Job Contact: 

• Mina Maleki – (313) 993-1167 – malekimi@udmercy.edu