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Dengue & Nipah Virus Eco-Epidemiology in Bangladesh - OSPO Spring Internship Program

Apply now(opens in a new window) Job No: 509739
Division/Organization: Office of the Vice Chancellor for Research
Department: Data Science Institute
Job Type: UW Student Jobs
Remote Eligbility: Partially Remote
Location: MCARDLE BUILDING
Salary/Wage Range or Lump Sum: $15.00-17.00
Job Categories: Interpersonal Communication, Critical Thinking/Problem Solving, Digital Technology, Teamwork/Collaboration, Professionalism/Work Ethic, Information Technology and Computers, STEM, Data Analysis

Department Overview:

 The Open Source Program Office (OSPO) is looking to connect interns with meaningful open-source projects as part of a new cohort of the internship program in collaboration with Madison College. During the internship, students will join a mentored open source project, participate in an initial training session, and weekly check-ins with the Open Source Program Office, and learn crucial skills related to managing open source software projects and growing software user communities.

Anticipated Start Date:

 2/2/2026

Anticipated End Date (If Applicable):

 5/1/2026

Remote Work Eligibility Detail:

Partially Remote

 

Anticipated Hours Per Week:

 Minimum: 10 Maximum: 15

Schedule:

 Internship work schedules will be established in collaboration with the project mentors, with a general expected commitment of 10-15 hours/week. In addition to the work schedule established with the project lead, interns will participate in a weekly group session with the OSPO for check-ins, trainings, and guest speakers.

Salary/Wage Range/Lump Sum:

 Minimum: $15.00 Maximum: $17.00

Number of Positions:

 1

Qualifications:

 UW-Madison and Madison College undergraduate and graduate students with applicable backgrounds in any field are eligible to apply. Students must be enrolled in a degree program during the calendar year with at least one semester remaining after the internship’s conclusion.

Application materials should include:
- A one-page cover letter that highlights your qualifications based on skills identified in the project listing and your interest in open source broadly.
- A resume that includes your name, school email address, phone number, field(s) of study (major, minor, degree, certificate), relevant coursework, extracurricular activities, expected graduation date, relevant sample work (ex: GitHub link, personal website, etc.) and any relevant work or research experience.
-The names and contact information of three references.

Submit a resume, cover letter, and three references as part of your application.

Knowledge, Skills & Abilities:

• Python or R programming for data analysis and machine learning.
• Computer vision / deep learning (PyTorch, TensorFlow, or similar frameworks).
• Image processing and annotation tools (LabelImg, CVAT, Roboflow).
• Familiarity with ecology, wildlife biology, or public health data is beneficial but not required.
• A strong interest in open-source collaboration, reproducibility, and interdisciplinary science.

Position Summary/Job Duties:

Our research integrates artificial intelligence, computer vision, and One Health principles to enhance biosurveillance and ecological forecasting. The project focuses on two interrelated efforts: (1) developing automated image detection models to identify bats in photographs and video frames for abundance, behavior, and conservation studies, and (2) using high-resolution macro imagery of medically important arthropods (e.g., mosquitoes, ticks) captured via Cognysis StackShot equipment to generate 3D reconstructions. These technologies support public health education, citizen-science engagement, and predictive modeling of zoonotic spillover risks such as Nipah virus in Bangladesh. The current research leverages field and remote sensing data streams within an established international collaboration between the University of Wisconsin–Madison, the University of Pécs, and CVASU Bangladesh, aimed at enhancing rapid detection and ecological modeling capacities.

Interns will contribute to:
• Training and validating deep-learning image detection models (e.g., YOLOv8, ResNet, or Detectron2) for identifying bat species and behaviors.
• Annotating and curating datasets of bat imagery and thermal video frames.
• Processing macro-stacked imagery and creating photogrammetric 3D meshes for arthropod morphology libraries.
• Supporting open-source documentation and code repositories for reproducibility and community use.
• Integrating detection outputs into existing forecasting dashboards that link wildlife ecology to zoonotic disease risk.

Physical Demands:

Interns are expected to be able to sit for extended periods. Specific physical demands will be discussed with mentors during the interview process.

Institutional Statements:

Equal Employment Opportunity Statement:

UW-Madison is an Equal Employment, Equal Access Employer committed to increasing the diversity of our workforce.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background-people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: diversity.wisc.edu

Accommodation Statement:

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website:https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/
 
 

Advertised: Central Standard Time
Applications close: Central Standard Time

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