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Vacancies

Postdoctoral researcher in Computational Privacy

Salary: £34,397 to £46,499 per annum*
Fixed Term full time position for one year

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397 - £37,486 per annum

Job Summary

Data privacy is one of the key issues of this decade. While scandals such as Cambridge Analytica and the Snowden revelations have eroded public trust, the potential of data for good incl. for research has never been greater. We believe that robust and scientifically sound technical research is part of the solution.

The Computational Privacy Group at Imperial College London (Department of Computing and Data Science Institute) takes an empirical approach to data privacy, developing attacks against privacy-preserving methods and systems to propose more effective technical defenses. As a group, we come from a range of backgrounds (pure and applied maths, engineering, computer science) and are interested in the original application of computational techniques, incl. machine learning, on large behavioural datasets to identify privacy risks, fairness issues, and to propose innovative solutions. We work closely with industry partners and policy makers worldwide and aim to generate significant real-world impact through high quality research.

Our latest papers have been published in top tier journals and conferences such as Science, Nature Communications, Usenix Security, WWW and have been covered by the BBC, CNN, New York Times, Wall Street Journal, The Guardian, and Harvard Business Review.

Duties and Responsibilities

The research project will be defined in close collaboration with the successful candidate in the area of computational privacy and privacy engineering. Potential projects could include the development of a rigorous framework to efficiently profile individuals based on behavioural data or methods to evaluate the privacy guarantee afforded by given systems or protocols. The CPG’s research projects usually include a mix of theoretical and empirical work with large-scale real world data. The group also strives for active and constructive collaboration and the candidate will be expected to participate in the group’s research and may be expected to help supervise doctoral students.

Essential requirements

● Candidates are expected to have (or be about to obtain in the near future) a PhD in applied mathematics, computer science, statistics, machine learning or a related quantitative field and a BSc or MSc/MEng in the same areas.
● A strong track-record of publications in leading journals or conferences.
● Strong collaborative, analytical, and scientific writing skills.
● A demonstrated interest in the impact of research on society is a plus.

Further information
Postdoctoral researcher in Computational Privacy

How to apply: Via our website at https://www.imperial.ac.uk/jobs and search using vacancy reference number ENG00957

Closing date: 19th September 2019
About Imperial College London

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/
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 Associate: Data Assimilation and Machine Learning

Salary: £34,397 to £42,654 per annum*

Location: South Kensington

 Job Summary

To undertake and disseminate internationally leading research into the development of a range of the next generation data assimilation and machine learning models and applications to air pollution, lungs modelling and sensors optimization. The Research Associate will collaborate with and strengthen the multi-disciplinary team of researchers already in place working on closely related projects. Ultimately the post holder will contribute to the delivery of a next generation model for optimising sensors, data assimilation, machine learning and optimised controls. The work will contribute to the INHALE project.

 Duties and responsibilities

You will be expected to:

  • Undertake and develop advanced techniques in data assimilation
  • To initiate and plan research according to the projects guidelines
  • To identify and develop suitable techniques, and apparatus, for the collection and analysis of data
  • You must ensure the validity and reliability of data at all times
  • To maintain accurate and complete records of all findings
  • To write reports for submission to research sponsors
  • To submit publications to refereed journals
  • To provide guidance to staff and students.

 Essential requirements

  • At Research Assistant level: A good undergraduate degree or MSc (or their equivalents) in Mathematics, Physics, Computing, Engineering or equivalent research, industrial or commercial experience
  • At Research Associate level: A PhD (or equivalent) in an area pertinent to the research subject. Mathematics, Physics, Computing, Engineering or equivalent research, industrial or commercial experience
  • A proven research record with publications in the relevant areas is also required
  • Background in computational science, in particular optimisation, data analysis, and data assimilation techniques (adjoint, enKF etc).
  • Background in Machine Learning, in particular neural network
  • Experience of implementation of data assimilation techniques within complex multi-physics unstructured adaptive mesh models, and in particular fluid dynamics
  • You must have excellent verbal and written communication skills.
  • Experience of dealing with specific groups of people, e.g. sponsors, students

Further information

* Candidates  who  have  not  yet  been  officially  awarded  their  PhD  will  be  appointed  as  Research  Assistant within the salary range £34,397 - £37,486 per annum

Candidates who have been officially awarded their PhD will be appointed as Research Associate within the salary range £39,135- £42,654 per annum.

Research Associate-DA ML

How to apply:

Via our website at https://www.imperial.ac.uk/jobs  and search using vacancy reference number ENG00947.  In addition to completing the online application, candidates should attach:

  • A full CV
  • A 1 page statement indicating why your expertise is relevant

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

Closing date: 16th September 2019

 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/

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.