Research Associate in Multimodal Machine Learning
We are seeking to hire two Research Associates to contribute towards multimodal machine learning and its applications to language tasks, in particular machine translation, but also automatic speech recognition, text summarisation, etc. This position is funded by the ERC MultiMT project (https://multimt.github.io/): Multimodal Context Modelling for Machine Translation. MultiMT is led by Professor Lucia Specia (http://www.doc.ic.ac.uk/~lspecia/)...
Job listing information
- Reference ENG00556
- Date posted 23 October 2018
- Closing date 22 November 2018
We are seeking to hire two Research Associates to contribute towards multimodal machine learning and its applications to language tasks, in particular machine translation, but also automatic speech recognition, text summarisation, etc. This position is funded by the ERC MultiMT project (https://multimt.github.io/): Multimodal Context Modelling for Machine Translation. MultiMT is led by Professor Lucia Specia (http://www.doc.ic.ac.uk/~lspecia/) at Imperial College London.
Imperial College is consistently in the top 10 world university ranking. The College achieved second place in the Complete University Guide’s Computer Science subject table for 2017. The Department of Computing has repeatedly been awarded the highest research ratings in the REF assessments, was ranked 1st in the Research Intensity table published by The Times Higher, and was rated as "Excellent" in the most recent national assessment of teaching quality.
Duties and responsibilities
It is a highly interdisciplinary project involving natural language processing, speech processing, computer vision and machine learning. Its goal is to devise methods and algorithms to exploit global multimodal information for context modelling in machine translation and other applications. This will require new ways to acquire multilingual multimodal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate language.
A track record in machine learning and at least one of the following areas is essential for this post: natural language processing, computer vision, or speech processing. Preference will be given to applicants with experience in multimodal work involving two of more of these areas.
In particular, the following skills are required:
- Experience in the modelling of natural language processing/computer vision/speech processing or multimodal tasks using machine learning
- Experience with deep learning algorithms and deep learning frameworks (e.g. PyTorch)
- Significant experience with coding (especially in Python and PyTorch)
As Research Associate you must have a PhD (or equivalent) in an area pertinent to the subject areas above. Preference will be given to applicants with proven research record and publications in A-ranked venues. You will need to have excellent written and verbal communication skills and be able to organise your work with minimal supervision and prioritise work to meet deadlines.
For further details on this opportunity and to apply visit https://www.imperial.ac.uk/jobs/
Applications must include:
- A full CV
- A 1 page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
- Additionally please include any material from your past work that you would like us to consider such as significant papers or thesis.
For applications queries please contact Jamie Perrins at email@example.com
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Encourage inclusive participation and eliminate discrimination
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.