IS Department Ph.D. Student Jobs

Current Job Listings

These job listings are for Information Science Ph.D students. You may apply to the professor that is listing the job. Please cc' Daniella.Smith@unt.edu when you apply. Scroll down the page to review them.

Graduate Research Assistant Position

This 20-hour a week RA position will support the National Science Foundation grant, Diversifying Human Centered-Data Science through the Research and Design of Ethical Games (SMA #2127924). This interdisciplinary study explores the learning experiences of diverse undergraduates at two universities as they collaborate in the research and design of a simulation game that teaches ethical thinking in data science and artificial intelligence. Our work seeks to identify factors that enhance the experiences of underrepresented people in data ethics and contribute to the knowledge of STEM learning benefits and barriers for students of color.

RA Duties include:

· Leading a student research group, consisting of undergraduate and masters’ students at 2 universities

· Organizing students into small groups and coaching them in project tasks

· Keeping project materials well organized, including student work and research data.

· Qualitatively analyzing data and writing results summaries.

· Co-writing presentations and articles for academic conferences and journals - at least 1 paper per year and multiple posters.

· Communicating regularly with primary investigators at UNT and the University of Washington via video call, telephone, or email.

Required Qualifications:

· Masters or Doctoral (PhD) level student.

· Knowledge of and experience with qualitative methods and basic learning theories

· Experience leading groups and/or teams.

· Commitment to diversity, equity, and inclusion principles and interest in social justice.

· Solid writing and communication skills in the English language.

· Ability to attend meetings two to three times a week.

· Hardworking, energetic, and organized.

Desired Qualifications:

· Experience working within communities of color in the United States (e.g. Latinx and Black communities).

· Knowledge of wide range of game styles and/or game design.

· Experience writing and publishing academic papers for journals and/or conferences.

This project is currently active and scheduled to finish in January 2024. It is expected that the person applying to the position will commit to working on the project until it finishes.

Interested candidates must send a letter of interest and a CV to sarah.evans@unt.edu ASAP.

GRA in Digital Libraries- UNT Libraries

Link: https://library.unt.edu/assets/documents/departments/administrative-office/employment/job-posting/08-19-2022-digi-gra.pdf

Project Overview
 
This position is part of a grant funded by the Institute of Museum and Library Services (IMLS) to explore the use of
bibliographic metadata for building machine models to help identify high-value publications from large web archives.
This project combines the fields of library and information science with artificial intelligence and machine learning to
explore new ways of building collections.
 
Position Description
This 20-hour per week position is for a graduate research assistant to assist in a two-year grant funded project to
demonstrate the capability and effectiveness of leveraging bibliographic metadata utilizing machine learning tools
and techniques to extract and identify high-content value documents from Web Archives as part of an IMLS funded
grant project. The student will assist in the creation of custom scripts for parsing and loading textual data into the
machine learning workflow and training and configuring machine learning tools in classification tasks required by the
project. They will conduct environmental scans related to the project and review project-related reports.
Additionally, the student will participate in project meetings and provide general project and office assistance to the
principal investigators.
 
Position Responsibilities
• Review and analysis of collection development documentation
• Assist with data collection and analysis
• Conducting literature reviews
• Maintaining project documentation
• Reviewing and editing written reports
 
Hours and Location
This position is part-time at 20 hours per week. Students may set their own schedules but are expected to work
during standard office hours which are Monday through Friday 9:00 a.m. – 6:00 p.m. Willis Library on the Denton
main campus is the work location for this position.
 
Contact for More Information
Mark Phillips, Ph.D.
Associate Dean for Digital Libraries
UNT Libraries

mark.phillips@unt.edu

Teaching Assistant for a Health Informatics Class

Dr. Muhammad Amith is seeking a health informatics concentration student. It is preferred, but not required for the student to have taken INFO 5365. Good communication and organizational skills are a must. The student must be able to attend face-to-face meetings on a weekly basis. In addition, the student must be available to attend class with instructor on Thursday evening. Contact Dr. Amith for more details at muhammad.amith@unt.edu.

Paid and Volunteer Research Assistant Positions for the Computational Healthcare and Biotechnology (COHB)

Available paid and volunteer research assistant positions with COHB lab in Fall 2022:

Are you interested in receiving research experience while making yourself more competitive for graduate school or industry? The computational healthcare and biotechnology (COHB) lab, directed by Dr. Mohammed Aledhari, is looking for responsible Ph.D. students to be hired as paid research assistants (RAs) to assist with artificial intelligence, machine learning, data science, and computer vision research activities for computational medicine, biology, bioinformatics, biotechnology, especially investigating and identifying the features of certain genomic elements that regulate gene expression that aim to identify genes that cause diseases, particularly cancer, obesity, and aging and treat those diseases using justified evaluation metrics computationally and experimentally.

The COHB lab also offers unpaid/volunteer RA opportunities for graduate and undergraduate students to gain research experience in the above mentioned areas. Research assistants (RAs) will have the chance to hone their research skills through the listed areas. Unpaid/Volunteer RAs do not require the first three qualifications.

Dr. Aledhari's research group is committed to conducting research in computational, data, and engineering sciences in the context of biomedical, clinical, and public health disciplines using artificial intelligence and machine learning (AI/ML) and applying this knowledge to support the nation's leading health initiatives. Dr. Aledhari has a strong track record of mentoring diverse students on high-risk and high-reward projects and attaining high-impact positions, including but not limited to staff scientists and software engineering positions in machine learning, deep learning, computer vision, and data science fields in giant computing companies and federal agencies such as Microsoft, Apple, IBM, and NASA.

Qualifications and Personal Traits:

  1. Must have prior machine and deep learning skillsets and implementations with valid evidence.
  2. Strong mathematical skills in linear algebra, calculus, probability, and statistics, in addition to proficiency in Python.
  3. Current enrolment in one of the computing Ph.D. programs.
  4. Communicate and treat all people inside and outside the lab friendly, respectfully, and professionally to reflect the lab's professionalism, ethics, values, and high standards.
  5. Strong organization and interpersonal skills.
  6. The ability to communicate effectively (both verbal and written).
  7. Self-starter and problem solver.
  8. Works well independently and proactively as part of a team.
  9. Ability to apply sound research techniques, methodology, and logical critical analysis.

Job Duties and Responsibilities:

  1. Designing and developing new and/or optimized models using artificial intelligence and machine learning (AI/ML) for big genomics datasets.
  2. Research and collects data through complex techniques and procedures or other project-specific methodology.
  3. Designing and developing new and optimized computational models and algorithms for the assigned projects.
  4. Interprets, synthesizes, and analyzes data.
  5. Plans and modifies research techniques, procedures, tests, equipment, or software management.
  6. Opportunities for collaboration on writing and editing materials for publications, presentations, and grant proposals.
  7. Participate in weekly lab meetings with the lab director, Dr. Mohammed Aledhari, and other research team members.
  8. Performs other related duties as required.

Benefits and Recognition

The listed paid and volunteer positions provide valuable experience for students. Suited to individuals interested in gaining expertise in artificial intelligence, machine learning, computer vision for healthcare, bioinformatics, and biomedical projects. COHB will provide milestone acknowledgments and reference letters for all RAs who successfully complete their placements and projects. Also, RAs will have opportunities to coauthor COHB publications and collaborate with other researchers in other universities such as Arizona State University, Mayo Clinic Center, Indiana University School of Medicine, George Mason University, University of Michigan, Florida International University, and the University of Nebraska.

Additional Information for the Ph.D. RA:

The paid RA positions for a Ph.D. students come with a tuition waiver and monthly stipend. The appointment length will be one year with the potential for extension (up to 4 years). Extensions are subject to the performance and the availability of funding.

How to Apply:

If you are interested, then please email Dr. Aledhari at mohammed.aledhari@unt.edu with the subject: "Prospective Paid Ph.D. RA with COHB" for paid positions or "Volunteer RA with COHB" for unpaid/volunteer positions along with your resume and an electronic copy of your transcripts (if exist).

Research Assistant for Dr. Ana Roeschley

 

I am seeking salaried Graduate Student Research Assistants to work with over Fall 2022 and Spring 2023. My research is centered on the relationships between people and archives so students with an interest in archival studies are strongly encouraged to apply. The Research Assistant may be assigned to support a variety of tasks that include literature reviews, qualitative data collection, data analysis, and more. Both PhD and Master’s students are welcome to apply.

 

Qualifications

· Currently enrolled in full-time graduate study at UNT

· Coursework or experience in qualitative and mixed-methods research methodologies preferred

· Familiarity with institutional archives preferred

· Strong organizational and communication skills

 

Responsibilities

· Conduct literature reviews

· Prepare materials for UNT IRB review

· Assist Dr. Roeschley with preparation of study protocols

· Collect and analyze data/report results

· Manage and respond to project-related emails

· Attend research meetings

· Other project-related tasks as required by Dr. Roeschley Interested applicants should submit their CV and writing sample to Ana.Roeschley@unt.edu as soon as possible.

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