R&D Internship (PhD or Masters Completed)

We are seeking a Master’s or PhD graduates to join our team for a 6-month Research & Development internship, supported by the MBIE R&D Career Grant. This is a unique opportunity to apply your academic expertise to real-world projects, drive innovation, and gain hands-on industry experience.

The Business

At ADI we are making science easier. We're a leader in our field and have the team to make it happen. We are passionate about science and technology and finding solutions to the global health trilemma—reducing the burden of chronic disease and expanding healthcare capacity.

You will be part of a company that prides itself on global collaboration and its inclusive employee culture. At ADI you will have the opportunity to work within a flexible, hybrid working environment with the Dunedin office located in the heart of a modern cafe precinct. You will have ample opportunity for learning and development, and have hands on support.

Eligibility Criteria

• Recently completed an NZQA Level 9 or Level 10 degree (Master's or PhD) in Science, Technology, Engineering, Design, or Business.
• Submitted your thesis for marking or completed course requirements for a taught Master’s within the last 12 months.
• Must be a New Zealand citizen OR have completed your Master’s/PhD at a New Zealand university or tertiary institution.

Ideal Candidate Profile

• Strong Python skills (PyTorch/TensorFlow) with experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Hands-on experience with rapid software prototyping, software development, and information architecture.
• Familiarity with user-centered design, UX research, and turning complex technical data into clear digital experiences.
• Background or interest in biological signals, time-series data, or Educational Technology (EdTech).

Opportunity Details

• Duration: 6 Months (Full-Time)
• Location: Dunedin, New Zealand
• Application Requirement: Candidates must be identified prior to our MBIE grant application submission.

To view our current R&D project ideas, please click below. 

R&D - AI/ML in Physiological Data Analysis

R&D – AI-Assisted Lesson Authoring

R&D - AI- Generated Support Content and Information Architecture