Research Assistant in Machine Learning (Fixed Term)
We are seeking a Research Assistant to join an exciting and significant
research programme run by the Cambridge Machine Learning Group at the
University of Cambridge (https:// mlg.eng.cam.ac.uk/).
The goal of the programme is to develop new fundamental methods within the
area of probabilistic machine learning.
The Research Assistant will be supervised by Dr. José Miguel Hernández Lobato
from the Machine Learning Group in the Department of Engineering.
Key responsibilities include working on deep learning and probabilistic
machine learning, including deep generative models, Bayesian methods, Bayesian
optimisation, Gaussian processes, normalizing flows, diffusion models, etc.
Additional responsibilities include: contributing to research objectives and
proposals; presentations and publications; assisting with teaching and
supervision; liaising and networking with colleagues and students; planning
and organising research resources and workshops.
Successful applicants will have a Masters Degree in Computer Science,
Information Engineering, Statistics or a related area, with extensive research
experience and possibly a strong publication record. Excellent mathematical
and programming skills are essential. Experience in one or more of machine
learning, statistics, or a related field is highly desirable.
Salary Ranges: Research Assistant: £27,929- £32,348
Fixed-term: The funds for this post are available for 12 months in the first
Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.
Please ensure that you upload your Curriculum Vitae (CV), a list of your
publications and a covering letter in the Upload section of the online
application. If you upload any additional documents which have not been
requested, we will not be able to consider these as part of your application.
If you have any questions about this vacancy or the application process,
please contact Kimberly Cole, email firstname.lastname@example.org .
Please quote reference NM33183 on your application and in any correspondence
about this vacancy.
The University actively supports equality, diversity and inclusion and
encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible
to live and work in the UK.
Department of Engineering, Central Cambridge, Cambridge
14 September 2022
28 September 2022