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Vacancies

Research Assistant -IdeasFast closing date 31/07/2020

Research Assistant
Salary: £35,477-£38,566
Location: Data Science Institute, South Kensington Campus
Closing date: 31/07/20
Fixed term for 24 months

Job Summary

Applications are invited for a Research Assistant position at the Data Science Institute  to work on an exciting project with IDEA-Fast ,which is a 5-year project run by a consortium of 46 partners across 15 countries in Europe. The project aims to identify digital endpoints that provide reliable, objective and sensitive evaluation of activities of daily life (ADL), disability and health related quality of life (HRQoL) for neurodegenrative diseases.

The post holder is expected to establish the state-of-the-art data management and analytical environment to address the needs of data standardisation, integration, sharing, analysis and archive for the project. This will ensure clinical data (e.g., demographics, diagnosis, laboratory tests, clinical events, medications, patient-reported outcomes) and data collected from various digital devices (e.g., physical/bio-physiological data, EEG data, mobile data) generated from the project meet quality and compliance requirements, and enable project participants to perform integrated data modelling and analysis to identify digital endpoints for fatigue and sleep disturbances.

Duties and responsibilities

  • To contribute to development of IDEA-FAST data management platform and data standards.
  • To curate and integrate data collected during the project with existing datasets on the developed platform.
  • To develop the analytical environment for the platform and integrate analytical pipelines into the platform.
  • To contribute to the platform’s blockchain-based access control layer.

Essential Requirements

  • A good first degree or Masters (or equivalent) in Computer Science.
  • Software development experience with Java and Python.
  • Experience with database engines (MongoDB, PostgreSQL/MySQL).
  • Experience in handling/processing large and complex datasets.
  • Experience with data management platform development.
  • Experience in developing machine learning and data mining algorithms.
  • Good knowledge of modern programming paradigm and IT concepts (cloud computing, parallel computing) management technology (e.g. Docker, Openstack)

Further information

IdeasFast Job Description

To apply:

Via our website at https://www.imperial.ac.uk/jobs and search using vacancy reference number: ENG01309

For queries regarding the application process contact Fay Miller f.miller@imperial.ac.uk

For technical issues when applying online, please contact: erecruitment@imperial.ac.uk

All Imperial employees are expected to follow the 7 principles of Imperial Expectations.
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.

Research Fellow in Natural Language Processing Closing Date 02/08/20

Job Title:  Research Fellow in Natural Language Processing
Salary: £45,615- £53,988
Location: Data Science Institute South Kensington Campus
Closing date: 2nd August 2020
Fixed term for 24 months

Job Summary

Are you an excellent data scientist with a clear research vision looking to secure a personal fellowship and establish your own research group? The Data Science Institute (DSI) at Imperial College wishes to nurture the next generation of outstanding researchers and invites applications for an attractive and flexible fellowship scheme for those wishing to develop an independent research career.

You will carry out, plan and lead a high-quality programme of research in Natural Language Processing and its applications, undertake project management and/or supervise multi-disciplinary teams. In addition, the Fellow will be expected to submit publications to refereed journals and to attract external research funding.

Duties and responsibilities

  • To develop compelling and original research in Natural Language Processing and its applications;
  • To obtain research grants from national and international funding bodies, and obtain funding from industry where appropriate;
  • To publish research papers in peer-reviewed journals;
  • To attend and present research at international conferences;
  • To supervise postdoctoral researchers, postgraduate students and undergraduate research projects in the DSI.

 Essential Requirements

  • We are looking for researchers at any stage of their career who have:
  • A very good academic track record including a first or upper second-class degree and a PhD in in computer science or a closely related discipline, or equivalent research, industrial or commercial experience;
  • Experience of the supervision of research of undergraduate/postgraduate students or postdoctoral staff
  • Experience in statistics, data mining, machine learning and natural language processing
  • Experience of directing the work of a small research team and motivate others to produce a high standard of work
  • Good knowledge of modern programming languages (Java, Python) and cloud computing management technology (e.g. Docker, Openstack)

Further information

To apply:
Via our website at https://www.imperial.ac.uk/jobs and search using vacancy reference number: ENG01319
For queries regarding the application process contact Fay Miller f.miller@imperial.ac.uk
For technical issues when applying online, please contact: erecruitment@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.
http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

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.

Senior Research and Teaching Fellow in AI closing date 04/07

Job title: Senior Research and Teaching Fellow in AI
at UKRI Centre For Doctoral Training in AI for Healthcare
Salary range: £38,006 - £56,082
Closing date: 4th July 2020

Job Summary 

The role of the Senior Research & Teaching Fellow in AI comprises both responsibilities in pioneering research training for AI applications, including developing and delivering novel modules such as Deep Reinforcement Learning or Mathematics for Machine Learning and developing an MRes programme in AI and Machine Learning, but also the opportunity to supervise postgraduate students in research. There is an explicit provision of being able to focus on one's own research one day a week in addition to research as part of the supervision of postgraduate students and the co-development of larger-scale research projects within the Centre.

The Centre has a student population of very diverse academic backgrounds (computer science, mathematics, engineering, medicine) which need to be considered in the context of the integrated training curriculum.

DUTIES AND RESPONSIBILITIES

An experienced postdoctoral researcher who wishes to combine AI research and higher education teaching, with some of the world’s most selected student populations, and thus who is keen in seeking to pursue an academic career. The post holder will have the opportunity to develop this role within the Centre and to contribute to planned and novel activities of the Centre.

Essential requirements

In order to be successful for this role candidates should have:

  • Experience of research, evaluation of teaching and applied critical reasoning
  • Experience in supporting higher education courses or equivalents, including; curriculum design and designing and overseeing assessment processes
  • Knowledge of foundations of AI
  • Ability to programme/code

For the full set of person specification, please see the ‌ Job Description

FURTHER INFORMATION

The AI4Health Centre is based at Imperial College London which is consistently ranked in the top 10 of University world rankings, it has the highest proportion of 4* (world-leading) and 3* (internationally excellent) academics in the UK, ranks 3rd in Engineering, Medicine and Technology in Europe (e.g. QS, THE league tables).

A particular strength of our environment is the pathway to impact.  This is facilitated by the Centre being close to business via the industry board and end-users in the NHS and patients through the patient board. 

To apply, please visit www.imperial.ac.uk/jobs and search by the job reference ENG01269.

Please complete and upload an application form as directed by the system. For any questions or queries regarding the application process and aspects of the posts, please contact Britta Ross at b.ross@imperial.ac.uk in the first instance or visit our website ai4health.io

For technical issues when applying online, please email recruitment@imperial.ac.uk

The College cannot normally apply for a Certificate of Sponsorship for this post under Tier 2 of the UKVI’s Points Based System. Any candidate, who is considering applying for this position and requires sponsorship, must ensure that they are able to obtain permission to work in the UK through an appropriate immigration route.

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Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.