Postdoctoral Research Assistant in machine learning and citizen science

Submission Information
Publish Date: 
Saturday, July 17, 2021
Archive Date: 
Saturday, August 21, 2021
To event remaining 24 days
Job Summary
Job Category: 
Post-doctoral Positions and Fellowships
Institution Classification/Type: 
Large Academic
Institution/Company: 
University of Oxford
Department Name: 
Physics (Astrophysics)
Street Line 1: 
Denys Wilkinson Building
Street Line 2: 
Keble Road
City: 
Oxford
State/Province: 
Oxfordshire
Zip/Postal: 
OX1 3RH
Country: 
United Kingdom of Great Britain and Northern Ireland
Announcement
Job Announcement Text: 

Applications are invited for a Postdoctoral Research Assistant in machine learning and citizen science.

 

The post is available initially fixed-term until 31 July 2023

 

This project will build on work by the Zooniverse team in developing methods combining machine learning and citizen science, focusing on the potential of anomaly detection and serendipitous discovery. Example projects in astrophysics (particularly galaxy morphology and/or exoplanet discovery), protein structure (in collaboration with the Rosalind Franklin Institute) and bioacoustics for monitoring the health of ecosystems (in collaboration with UCL and WWF) provide a rich set of problems to address. The project provides an interesting opportunity for anyone with a desire to lead an attack on interesting machine learning problems in the context of real-world scientific problems.  

 

The successful candidate will be responsible for working with the project team to develop, test, deploy and evaluate suitable machine learning responses to the problems at hand, including data from citizen science projects where appropriate.  They will lead on publications describing the methodology, and carry out their own research using the results in one or more? of the project domains. They will also work with the Zooniverse platform development team to develop the appropriate infrastructure.                        

Applicants should possess, or be very close to obtaining a doctorate in a relevant field and ideally have a strong background in either one of the scientific domains (observational astrophysics, cryo electron tomography or ecology) or in machine learning.   

Previous experience or a demonstrated interest in citizen science, ‘human in the loop’ machine learning or anomaly detection will be an advantage.

Candidates are expected to demonstrate the ability to think creatively and work collaboratively. The panel will also assess efforts in service of community scholarship, any track record of collaborating with groups which are underrepresented in our fields, and a demonstrated commitment to diversity.

The post-holder will have the opportunity to teach.

Please direct enquiries about the role to Prof Chris Lintott chris.lintott@physics.ox.ac.uk

Only applications received before midday 20 August 2021 can be considered. You will be required to upload a brief statement of research interests, CV.  You must also ask your two referees to send your references to  Leanne.odonnell@physics.ox.ac.uk before the closing date

Application Deadline: 
Friday, August 20, 2021
Selection Deadline: 
Friday, September 24, 2021
Current Status of Position: 
Accepting Applicants
Apply to Job
Attention To: 
HR Team
Institution/Company: 
University of Oxford
Department Name: 
Physics
Street Line 1: 
Clarendon Lab
Street Line 2: 
Parks Road
City: 
Oxford
State/Province: 
Oxfordshire
Zip/Postal Code: 
OX1 3PU
Country: 
United Kingdom of Great Britain and Northern Ireland
Email: 
Personnel@physics.ox.ac.uk
Institution/Company Job ID or Reference Code: 
152285
Inquiries About Job
Attention To: 
Prof. Chris Lintott
Subject: 
PDRA
Email: 
chris.lintott@physics.ox.ac.ukchris