Postdoc / Phd Internships / research assistant on Covid-19 Guidelines

The Visual+Interactive Data group at the School of Informatics, University of Edinburgh, is searching for an engaged and creative postdoc / PhD summer internship to help doctors sharing, browsing, and visualizing clinical guidelines about Covid-19. Clinical guidelines are documents laying out specific diagnosis and treatment procedures and the project aims to facilicate doctors browsing and creating guidelines about Covid-19 for their hospital in an environment with quickly updating information and policies. Our effort is part of a larger UK-government funded project including partners in Natural Language Processing (NLP), the Royal Edinburgh Infirmary, and the Roslin Institute.

The position (£33,797 p.a) can start as soon as possible and is funded for a maximum of 5 months until September with the possiblity to request more funding. Part-time is possible.

Given the current sitation, working from home or abroad is possible but a UK bank account is required.

If you are interested, please submit an application to Benjamin Bach, including

• a CV (with publications)
• a brief motivation and research statement (1 page max)
• links to any relevant visualization work
• two references
• a brief cover letter lying out your working situation as the position comes with some flexibility.

A first deadline for applications is set for Monday, April 10, midnight but the position remains open until filled. Let us know if you are interested and do not hestitate to contact Benjamin Bach for any questions.

A suitable candidate will require technical skills in

• web development (JS, Node, Flask, web interfaces)

And desired skills in

• text visualization
• information visualiztion and graphic design
• search interfaces
• natural language processing

The project will involve

• designing an interface to allow for querying, browsing, and visualizing information in guidlines
• conduct user reserch for task analysis and evaluation
• collaborate with researchers in NLP and inform appropriate NLP methods, based on clinicians workflows
• create creative ways to engage clinicians in sharing their guidelines publicly.
• provide support for analyzing guideline collection (similarity, document histories, etc.)

Team members and voluntary contributers include:

• Kenneth Baillie, Clinician
• Benjamin Bach, Lecturer and main contact
• Beatrice Alex, Chancelors Fellow, NLP
• Andy Law, bioinformatics
• Evan Morgan, Software engineer
• Andreas Grivas, research assistant
• Matteo Farinella, comic artist and scientific communicator
• Tobias Kauer, PhD student