Quantum computers are gaining attention from disciplines outside of physics. We are starting to see algorithms being developed that could be used to solve problems in the future. There are many problems that exist in biology and bioinformatics that could be explored with quantum computing.
Structural biology and drug discovery are two such areas that may be able to use quantum computing in the future as quantum computers mature.
WEHI is collaborating with the University of Melbourne to create foundational knowledge of quantum computing in biology to ensure that we are prepared for the future. This role is part of that exploration and will help to lay down the foundation of knowledge to allow researchers and research software engineers to accelerate their learning.
The Research Data Engineer Intern role will:
- Generating innovative and beneficial ideas for applying quantum computing to contemporary biological applications,
- Comprehensive reading and understanding of the latest scholarly work in the relevant field,
- Identifying knowledge gaps and bridging these, along with periodic presentations reporting on the findings and progress,
- Work with researchers to understand requirements,
- Experiment and document how quantum computer simulations can help accelerate learning,
- Review options for quantum computing in biology, and
- There is a possibility that experiments on a quantum computer may be done.
To excel in this internship project, the ideal candidate should have a willingness to research quantum computers, an ability to learn quickly, an enthusiasm for quantum computing, and a willingness to share and communicate information.
The benefits for students whilst undertaking the internship include:
- The student will learn Basic awareness and knowledge of quantum computing.
- Basic awareness and knowledge of the ecosystem that needs to surround quantum computing.
- Ability to communicate and share complex information to key stakeholders in their language.
- Experience with researchers and ability to navigate a research environment.