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Vacancies

Research Fellow in Data Analysis

Salary: £42,065 - £55,002
Full time, Fixed term for 24 months

Job Summary

 Precision healthcare seeks to deploy therapies that are sensitive to the particular genetic, lifestyle and environmental circumstances of each patient. Understanding how best to use these numerous features about each patient is a true mathematical challenge. The EPSRC Centre for Mathematics of Precision Healthcare will bring together mathematicians with researchers in computing, engineering and medicine. Funded with a £2 million grant from the Engineering and Physical Sciences Research Council, researchers will take data from the healthcare sector and turn it into information and tools that are useful to inform clinical decisions and public health campaigns to improve the overall health of people in the UK.

Duties and responsibilities

  • You will plan and lead the development and implementation of novel mathematics methods in healthcare and medical research;
  • You will develop, apply and provide custom analyses for a wide variety of patient data;
  • You will investigate a broad range of data driven approaches in medical and healthcare research including machine learning, data assimilation and computational physiology;
  • You will independently plan and carry out research in accordance with the project aims;
  • You will be engaged in cutting edge applied data science research;
  • You will take initiatives in the planning and leading of independent research;
  • You will direct the work of small research teams, supervising and taking responsibility for the research team;
  • You will publish research papers in peer-reviewed journals;
  • You will attend and present research at international conferences;
  • You will develop contacts and research collaborations within the College and the wider community;
  • You will supervise postdoctoral researchers, postgraduate students and undergraduate research projects;
  • You will lead in the design and delivery of DSI postgraduate education programmes;
  • You will be committed to personal development in order to succeed in career progression.

 Essential requirements

We are looking for a researcher who has: 

  • A very good academic track record including a first or upper second class degree and a PhD in computer science or a closely related discipline, or equivalent research, industrial or commercial experience;
  • A background in computational science, in particular optimisation, data analysis, machine learning and data assimilation techniques;
  • High level analytical skills, and the ability to ensure the validity and reliability of data;
  • Background in signal processing, in particular systems identification and filter theory;
  • Experience of implementation of data assimilation techniques within complex multi-physics unstructured adaptive mesh models, and in particular fluid dynamics;
  • Experience of modern programming in languages including Fortran, C++ and Python;
  • Experience working within substantial scientific computational projects and large multi-disciplinary environments;
  • Excellent oral and written communication skills;
  • Publications in high quality journals;
  • Presented work at significant conferences;
  • Strong leadership and management skills.

 Further Information

Documents
JD Research Fellow Data Analysis

How to apply:

For further details on this opportunity visit our website at the following link. https://www.imperial.ac.uk/jobs and search using vacancy reference number ENG00598.
In addition to completing the online application, candidates should attach:

•           A full CV, including publications, experience and achievements

•           A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant

Should you require any further details on the role please contact: Emma Bowman, DSI Operations Manager: e.bowman@imperial.ac.uk.

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

 

Research Fellow (Machine Learning)

Salary: Level C £42,065 - £52,002
Location: South Kensington Campus
Closing Date: 16 December 2018
Full time 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 lead a 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. The DSI will cover the cost of your salary, commensurate with experience, for up to 24 months, with modest consumables, whilst you develop and submit a strong application(s) for an independent externally funded fellowship to build up your research leadership at the DSI. This fellowship programme aims to build up a strong academic base at the DSI by cultivating early career data scientists to be future academic staff.

Duties and responsibilities

• You will develop compelling and original research in Machine Learning and/or its applications;
• You will lead programmes of research, developing research proposals and funding bids and be successfully awarded them;
• You will take initiatives in the planning and leading of research of the DSI;
• You will direct the work of small research teams, supervising and taking responsibility for the research teams;
• You will be engaged in cutting edge applied data science research;
• You will publish research papers in peer-reviewed journals;
• You will attend and present research at international conferences;
• You will promote the reputation of the Institute and the College;
• You will develop contacts and research collaborations within the College and the wider community;
• You will take initiative in building industrial partnerships;
• You will supervise postdoctoral researchers, postgraduate students and undergraduate research projects;
• You will play a key role in the development and delivery of the DSI’s postgraduate education programmes;
• You will be committed to personal development in order to succeed in career progression.

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 computer science or a closely related discipline, or equivalent research, industrial or commercial experience;
• Demonstrated an excellent start to their research careers, in either research or industry background;
• Strong research or practical record in the area of machine learning and/or its applications;
• Excellent oral and written communication skills;
• Publications in high quality journals;
• Presented work at significant conferences;
• The ability to demonstrate a clear research vision and the ability to propose research projects;
• Strong leadership and management skills;
• A commitment to personal development;
• Deep knowledge of the foundation of machine learning and AI in general;
• Knowledge of modern statistical programming languages;
• Knowledge of modern programming languages.

Further Information

This is a full-time, fixed-term position for 24 months.
Research Fellow (Machine Learning)

How to apply:

For further details on this opportunity visit www.imperial.ac.uk/jobs/ and search using vacancy reference number ENG00600. In addition to completing the online application, candidates should attach:

A full CV
A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Should you require any further details on the role please contact: Emma Bowman, DSI Operations Manager: e.bowman@imperial.ac.uk.
For technical issues when applying online please email recruitment@imperial.ac.uk

Support provided
We will provide mentorship from world-leading academics to enable you to reach your full potential. We also offer a very supportive environment for you to develop your research career, with full access to training courses and staff support within the College, including the award winning Postdoc and Fellows Development Centre and the Learning and Development Centre. You will be entitled to 10 days learning and development per year and will have access to a range of courses and workshops, as well as support for developing your fellowship application(s) and mock interviews.

Data Science Institute
The DSI is a global challenge institute, formed to harness the talents of a wide variety of researchers across Imperial College to address some of the world’s most important issues. Imperial College London has chosen ‘leading the data revolution’ as a key research theme in its 2016-2021 strategy and the Data Science Institute has been created to act as a focal point across the College to address this topic. Our aim is to create a world class data science research base at Imperial College and foster collaboration and innovation in data driven research and education on a global scale. We welcome applications from all candidates whose research interests encompass Machine Learning and/or its applications. For more information on the research interests within the DSI please visit the DSI website.
The DSI has a strong track record in securing funding from a wide variety of funders including research councils and industry.

Research Assistant (Software Developer)

Imperial College
Department of Computing, Data Science Institute
Research Assistant (Software Developer)
Fixed Term appointment for 12 months
Research Assistant salary: £33,380 to £35,061 per annum
Closing date: 04 December 2018

Job Summary

We have an exciting opportunity for a Research Assistant (Software Developer) to work on OPen ALgorithms project (OPAL), a joint initiative between the Computational Privacy Group (https://cpg.doc.ic.ac.uk) at Imperial College’s Data Science Institute (https://www.imperial.ac.uk/data-science) and the MIT Media Lab (http://media.mit.edu).

This is a one year position in the first instance, but there may be subsequent PhD opportunities.

The Computational Privacy Group is a research group at Imperial College London studying the privacy risks arising from large scale behavioral datasets. We develop attack models and design solutions to collect and use data safely.

The OPAL project aims to develop a secure and transparent data-processing platform allowing large-scale location datasets to be used for good while truly preserving people’s privacy. For a short overview of the project see: https://www.opalproject.org/a-closer-look .

The project is developed alongside a set of partners with Imperial College leading the technical development of the open-source platform and research on privacy-preserving mechanisms. The platform is installed by our telecommunication partners in Senegal and Colombia allowing data from more than 8 million people to be analyzed anonymously. The first users of the platform are the countries’ national statistical agencies who will test the platform and use the results of OPAL algorithms in support of the UN Sustainable Development Goals (e.g. real-time population density, inter-city mobility, etc.). Ultimately, we hope the platform would become the gold standard for researchers, national and international agencies worldwide.

Duties and Responsibilities

• Planning and carrying out research in accordance with the assigned projects and objectives of the CPG and the OPAL platform.
• Collaborating with team members and core support teams to develop and provide software to meet the needs of the projects.
• Writing clean, well-structured, documented code following good software engineering practices.
• Re-using and developing code libraries to promote the long-term sustainability of the developed software platform.
• Provide training and support to technical and non-technical end-users in the use of software incl. in-country training (Senegal, Colombia, etc.).
• Contributing to the dissemination of work within the group and also externally at national and international conferences by presentation, publication and demonstration.

Essential Requirements

• To be appointed at Research Assistant level you will need a master’s degree (or equivalent) in computer science, software engineering, information science, applied math or a related subject.
• Excellent software engineering skills, teamwork and experience with distributed data processing infrastructure.
• Background in computer science with strong proficiency in Python and Node.js (Javascript ES6-7). Experience with HPC or modern data processing frameworks for big data (e.g. Hadoop, Spark) is a plus.
• An interest for privacy-preserving technologies is essential.
• Experience with Node.JS, RESTful APIs, distributed computing (Spark for example), operating-system-level virtualization (Docker or other container technologies) and location data.
• An interest for the use of big data in developing countries is a plus.

Further information

For queries regarding the application process contact Fay Miller at: f.miller@imperial.ac.uk
Job Description (Software Developer)

How to apply:

Our preferred method of application is online via: www.imperial.ac.uk/jobs and search for EN00576
Please include:
• A college application form
• A full CV
• A 1-page statement indicating what you see as interesting research issues relating to the above post and why your expertise is relevant.