OPEN POSITIONS

Computer science honours/PhD student position (Sydney, Australia): “AI-driven single cell analysis“. This project aims to enable fundamental single cell omic data analysis directly from a web browser, without any computational literacy and using a chatbot and a natural language processing (NLP) neural network. Project description

How to apply

Contact Fabio at [email protected]:

• Postdocs: Send a CV, a description of research interests, and the names and contact information for at least two references. There are many fellowships out there. Include a description of your programming skills including, if available, a link to your GitHub/GitLab/Bitbucket profile.

• PhD students: We accept students from UNSW through the Graduate Research program. Email Fabio a CV, a one-page PDF with research interests (“why do you want to join this lab?”), and a description of your programming skills including, if available, a link to your GitHub/GitLab/Bitbucket profile.

• Honours students: We generally welcome candidates motivated to mix computational and molecular biology projects. Send one paragraph of research interest and one about your favourite lecture.

• Research interns (computational): We are always considering highly motivated research interns to work on a number of computational problems in single cell systems biology. Examples of projects: interpretable decision trees to navigate cell atlases, identify potent antibodies against dengue virus, compressing cell atlas representations, learning the language of immune cells via ligand-receptor analysis.

• Research interns (experimental): We are considering an experimental research intern to study outlier cells that behave differently from the mass via time-lapse microscopy.

We actively encourage people with underrepresented backgrounds (e.g. of aboriginal or Torres Strait island descent, minority groups, LGBTQ) to apply and promise to create a welcoming learning environment irrespective of social background.