Student Researcher

Job Description

Student Researcher Position Announcement – Computer Science Department

Utah Valley University’s Computer Science department is excited to announce an opportunity for enthusiastic students to join its research team. These student researcher positions are made possible through dedicated funding from a National Institutes of Health (NIH) grant, underscoring the importance and impact of the work.

Summary Of Responsibilities

As a Student Researcher, you will have the unique opportunity to contribute directly to cutting-edge research under the guidance of Dr. Larry Zeng within the Computer Science Department. The primary focus of this role will be on:

• Working hands-on with research related to metal artifacts reduction in x-ray CT (Computed Tomography).
• Collaborating closely with Dr. Larry Zeng to develop and implement solutions.
• Actively participating in a learning environment designed to enhance your existing knowledge and develop new skills in advanced research areas.

We are seeking highly motivated individuals who possess a strong willingness to learn and an eagerness to significantly boost their academic and practical knowledge in a research setting. The commitment for this position is a maximum of 10 hours per week, offering flexibility to complement your academic schedule.

Qualifications

To be eligible for this exciting research opportunity, candidates must meet the following criteria:

• Must be a Current UVU student at the time of application and throughout the duration of employment.
• Must demonstrate a great interest in machine learning, as it will be a foundational aspect of the research project.

Knowledge / Skills / Abilities (Preferred)

While not strictly mandatory, candidates who possess the following knowledge and skills will be given preference:

• Basic understanding and knowledge in Blockchain technologies.
• Basic understanding and knowledge in Machine Learning concepts and applications.

This position offers an excellent opportunity to gain practical research experience, develop specialized skills in a critical area of medical imaging, and work alongside experienced faculty members.