Vacancies

I'm always interested in talking to motivated students about possible PhD positions. Note however, that I typically hire students with an MSc or a track record in research. Please get in contact if you are interested in joining my group!

Funding: There are a number of funding avenues at the University of Edinburgh, including the Centres for Doctoral Training in Biomedical AI and Robotics and Autonomous Systems. There are also studentships available for strong candidates.

Projects: There are several active research directions at the moment that I'm looking to collaborate with students on. Some examples of these include: (i) unsupervised depth and shape estimation from images and video (see here and here), (ii) algorithms for teaching fine-visual grained knowledge to humans (see here and here), and (iii) deep models for estimating the spatial and temporal distributions of objects in the natural world (see here).

Applying: Before going through any formal application process, please send me an email (oisin (dot) macaodha (at) ed.ac.uk) with the keyword phd-enquiry in the subject. It is also very helpful if you can tell me a bit about why you want to do a PhD, why you want to work in my group, and what topics you are interested in. Please also include an up-to-date CV.


Open Positions

April 2022 - Postdoc Position on Deep Learning-based Biodiversity Assessment at University of Edinburgh

We have a one year postdoc position in the School of Informatics at the University of Edinburgh on the topic of machine learning-based biodiversity assessment.

Reach out if you have an interest in deep learning and probabilistic modelling applied to geo-spatial prediction problems.

More information and details on how to apply can be found here.

For expressions of interest or questions please email Oisin Mac Aodha.


Dec 2021 - Postdoc Position for Enabling Advanced Autonomy through Human-AI Collaboration at University of Edinburgh

We have an open postdoc position in the School of Informatics at the University of Edinburgh on the topic of human-in-the-loop machine learning.

Reach out if you have an interest in computer vision, machine learning, or explainable AI. This is part of an exciting wider project which aims to develop new foundations for advancing autonomy in AI systems through human-AI collaboration.

More details can be found in the job ad.

For expressions of interest or questions please email Oisin Mac Aodha.