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Shepherd Research Lab

Join Us

Working with SRL

Work in our group focuses on developing innovative methodology for multimodality image analysis and on incorporating such methods into clinically relevant applications. As an active and growing research lab, the SRL welcomes people of all backgrounds to join our group.

At SRL, we are the forefront of applying artificial intelligence to medical research. As such, we currently have a strong need for individuals with a degree in or are pursuing a degree in Computer Science or a related field and a strong background in artificial intelligence, machine learning, and/or deep learning.

Current Job Openings

Postdoctoral Fellows

Postdoctoral Fellows

We are looking for bright and motivated postdoctoral fellows interested in pursuing an academic career in radiomics and cancer research. Contributes to the development of clinically-translatable imaging biomarkers by leading and/or participating in all aspects of the Shepherd Research Lab (SRL) research workflow. Aspects of the workflow includes the development of hypothesis driven proposals, data curation, data processing, modeling, and analysis. Works closely with study investigators, staff, bio-statisticians, post-doctoral fellows, and/or graduate students to meet study goals. Prepares manuscripts, presents findings at conferences, and contributes to grant preparation. Mentors graduate students working in the group. 


  • EDUCATION: PhD from an accredited college or university in Bioengineering, Computer Science, Physics, or related field.
  • EXPERIENCE: Up to one (0-1) year of experience in imaging data analysis, computer vision, and/or data science for imaging applications. Experience with medical image analysis (e.g., full-field digital mammography, breast tomosynthesis, breast magnetic resonance imaging (MRI), breast ultrasound, dual-energy X-ray absorptiometry (DXA), and/or 3D optical whole-body surface imaging); statistical packages (SAS, R); and software languages (e.g., Python, Matlab) is preferred.
  • KNOWLEDGE: Must have proficiency in quantitative analytical methods and must be proficient in at least one programming language (Matlab, Python, R, C/C++, etc.) as well as have or quickly obtain basic familiarity with the following languages, software, and software packages (SAS, ImageJ, Unix command line, Matlab, Python, R, and/or C/C++).
  • ABILITIES & SKILLS: Must possess strong quantitative analytical skills. Ability to prepare written reports of study results and analyses with good grammar and proficiency. Ability to evaluate and analyze existing techniques and procedures. Demonstrated excellent oral and written communication skills. Ability to work effectively independently and as part of a multidisciplinary team. Post Offer/Employment Condition: Must be able to pass a post offer criminal background check. Must complete Collaborative Institutional Training Initiative (CITI) Human Subject training within three (3) months from date of hire. Must complete the online Hazard Communication training immediately after hire or no later than employee’s initial exposure to hazardous chemicals.
  • POLICY/REGULATORY REQUIREMENT: As a condition of employment, employee will be subject to all applicable RCUH policies, procedures, and trainings and, as applicable, subject to the University of Hawai‘i’s Cancer Center HIPAA/PHI privacy and security. Violation of the RCUH’s, the UH’s, or the business entity’s policies and/or procedures or applicable State or Federal laws and/or regulations may lead to disciplinary action (including, but not limited to possible termination of employment, personal fines, civil and/or criminal penalties, etc.). Must complete the University of Hawai‘i’s Cancer Center  HIPAA/PHI privacy and security training immediately after hire or not later than employee’s initial exposure to HIPAA/PHI. Must maintain a current status on the University’s and/or the business entity’s training requirements. Must adhere to the University of Hawai‘i Cancer Center’s Bloodborne Pathogen Exposure Control Plan if applicable. This includes requiring personnel who are at risk of infection, including employees, student and volunteers, to undergo (1) UH General Lab Safety Training and (2) Bloodborne Pathogen Standards training prior to the Hepatitis B pre-screening vaccination series and/or hepatitis B vaccination. Personnel identified to be at risk are required to complete and sign the Hepatitis B Immunization form. Completed forms must be submitted to the UH Cancer Center HR Office within ten (10) calendar days of initial assignment of duties.

Apply through the RCUH Jobs Board

  1. Go to the RCUH Jobs Board.
  2. Input the position ID ‘223315’ in the Keywords search box. The position titled: SRL Postdoctoral Fellow should come up.
  3. Click on the position and apply. You may need to create an RCUH account.
  4. In your cover letter, please make sure to address both your desire to be in our group and to relocate to Hawaii.

General Applications

General Application Instructions

Please email a CV and Cover Letter to Dr. Shepherd at and if a reasonable match is found, you will be asked to come in for an interview.

Graduate Students

For Prospective Students

We are always on the lookout for sharp, motivated, and hard-working students. Hopefully, you have spent some time perusing Dr. Shepherd’s research interests and read a couple of his recent publications. By applying to work with SRL, you will have the opportunity to join a dynamic lab filled with a great group of students and staff working together as a cohesive unit. Quite simply, we play hard and work even harder!

At SRL, we are the forefront of applying artificial intelligence to medical research. As such, we have a strong need for individuals with a degree in or are pursuing a degree in Computer Science or a related field and a strong background in artificial intelligence, machine learning, and/or deep learning.

Working with Dr. Shepherd as a Graduate Student

As an advisor, it is my responsibility to provide you with the resources and professional connections (or at least point you in the right direction) needed to ensure that you meet your career goals. I recognize that the needs of graduate students are not all the same. Some students prefer hands-on supervision, others prefer no supervision, while still others (and I would bet most students) fall somewhere between these two extremes. For this reason, I do not supervise all graduate students the same way. Together we will find the right balance. At the end of the day, I strive to make you a complete researcher with the essential skills required for a successful and rewarding career in academia, government, nonprofit, public sector, or wherever you want to be.

I expect you to be hard-working and passionate about your research. You can expect to write grants, publish your work in peer-reviewed journals, create and deliver presentations at local, national, and international meetings, interact with other faculty and graduate students across campus, and have a fun time doing it. Do I expect your graduate research to consume every aspect of your life? Definitely no. Do I expect you to be committed to and excited about your work? Absolutely yes!

Still interested?

Send an email to Dr. Shepherd at, and include the following information:

  1. Curriculum Vitaé (or Résumé),
  2. Cover Letter including a summary of research experience and statement of research interests

I hope to hear from you.

Alumni Student Dissertations

Below are some of the dissertations by alumni students. You can also view alumni students and staff on our team page.

  • 3-component tomosynthesis breast imaging for improved lesion diagnosis (MBBE, present)
  • Simplified 4-compartment model for body composition in athletes (KRS, present)
  • Detection of melanoma lesions using deep learning approach (MS, EE, UH Manoa, 2019)
  • Tejido Adiposo Visceral (TAV) en Adultos Hispanos y su Relación con Alteraciones Cardiometabólicas (PhD, Nutrition, University of Sonora, Mexico, 2019)
  • Developing Measures of Interval Breast Cancer Risk (BioE, UCBerkeley, 2018)
  • Advanced Clinical Metabolic Health Assessment Using 3D Optical and Dual Energy X-Ray Imaging (PhD, BioE, UCBerkeley, 2018)
  • Development of Three-Compartment Breast Imaging for Clinical Applications in Dual Energy X-ray Absorptiometry (PhD, BioE, UCBerkeley, 2018)
  • Measuring Water Content of Body Equivalent Materials using an RF Resonant Cavity (MS, Physics, SF State, 2017)
  • Predictive modeling of whole body dual energy X-ray absorptiometry from 3D optical scans using shape and appearance modeling (MS, Biomedical Imaging, UCSF, 2017)
  • The search for advance imaging descriptors of human body shape and their association to diabetes and other metablic disorders, (PhD, BioE, UCBerkeley, 2013)