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Vacancies

PhD position in Knowledge graph generation and reasoning via zero-shot learning for financial prediction

PhD position in Knowledge graph generation and reasoning via zero-shot learning for financial prediction.

The Data Science Institute (DSI) celebrated its 5th anniversary in 2019, bringing together Imperial’s existing data science activities and expertise to provide a focus and a catalyst for new partnerships. The DSI supports multidisciplinary collaborations between the College’s academic experts in many disciplines such as healthcare, financial services, climate science, and city infrastructure to create solutions to complex problems. Alongside research, the Institute fosters the next generation of data scientists and engineers.

Thanks to its many research collaborations both across College and with a variety of external academic and industrial partners, the DSI is establishing its role as an international hub in data science.

We are pleased to announce our collaboration with the Royal Bank of Canada (RBC) to produce the next generation of Data Scientists. RBC is Canada’s largest bank, and one of the largest banks in the world based on market capitalisation. Our collaboration with RBC will fund two PhD studentships to research in the area of financial news analysis starting in Oct 2020.

We are looking for motivated applicants interested in pursuing a PhD in financial-news analysis. The research will be part of the RBC Project which aims to investigate the technology in building up knowledge graph using text analysis technology and then apply the knowledge graph for prediction financial objects based on news. The techniques that can be applied from this work spread from Ontological modelling, Semantic Reasoning to more general Machine Learning methods (including Deep Learning).  

Applicants should have knowledge in one or more of:

  • Machine learning
  • Data analysis and modelling
  • Economics/finance (especially data economy)
  • Mathematical finance, etc.

A willingness to work independently and as part of a team on research is essential. In addition, the candidates should have (or be expecting to obtain) a first degree (1st class or upper second class) in computing, economics/finance or a relevant subject.

Applicants must be fluent in spoken and written English.

 Eligibility and Funding:

The position is a full-time position funded by RBC and the Data Science Institute covering tuition fees, and a stipend of £17K per annum, available to UK/EU and overseas student.

 How to apply

Applicants should send by email to Fay Miller (f.miller@imperial.ac.uk) include in the subjuct line: RBC Phd Studentship Knowledge graph generation and reasoning via zero-shot learning for financial prediction. Sending your CV, details of academic qualifications and a short statement of your motivation and experience.

Deadline for application: 29th June 2020

Start date: 01 October 2020

If you have any queries about the application process, please contact:

Dr. Amani El-Kholy at: a.o.el-kholy@imperial.ac.uk

Or Fay Miller at: f.miller@imperial.ac.uk

 This position will be based at the South Kensington campus in central London, next to Hyde Park and the museums of South Kensington.

Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

We are 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.

 

 

PhD position in Language Embedding for Automatic Annotation of Financial News

PhD position in Language Embedding for Automatic Annotation of Financial News.

The Data Science Institute (DSI) celebrated its 5th anniversary in 2019, bringing together Imperial’s existing data science activities and expertise to provide a focus and a catalyst for new partnerships. The DSI supports multidisciplinary collaborations between the College’s academic experts in many disciplines such as healthcare, financial services, climate science, and city infrastructure to create solutions to complex problems. Alongside research, the Institute fosters the next generation of data scientists and engineers.

Thanks to its many research collaborations both across College and with a variety of external academic and industrial partners, the DSI is establishing its role as an international hub in data science.

We are pleased to announce our collaboration with the Royal Bank of Canada (RBC) to produce the next generation of Data Scientists. RBC is Canada’s largest bank, and one of the largest banks in the world based on market capitalisation. Our collaboration with RBC will fund two PhD studentships to research in the area of financial news analysis starting in Oct 2020.

We are looking for motivated applicants interested in pursuing a PhD in financial-news analysis. The research will be part of the RBC Project which aims to build up a novel technology in mapping financial news and policy documents to a semantic ontology for finance. The research will focus on the generative approach to improve the current technology on topic generation.  It will have a key application to knowledge engineering based on the reporting of financial events. 

Applicants should have knowledge in one or more of:

  • Machine learning
  • Data analysis and modelling
  • Economics/finance (especially data economy)
  • Mathematical finance, etc.

A willingness to work independently and as part of a team on research is essential. In addition, the candidates should have (or be expecting to obtain) a first degree (1st class or upper second class) in computing, economics/finance or a relevant subject.

Applicants must be fluent in spoken and written English.

Eligibility and Funding:

The position is a full-time position funded by RBC covering tuition fees, and a stipend of £17K per annum, available to UK/EU and overseas student.

 How to apply

 Applicants should send by email to Fay Miller (f.miller@imperial.ac.uk) stating in the subject line enter: RBC PhD studentship Language Embedding for Automatic Annotation of Financial News.

Include your CV, details of academic qualifications and a short statement of your motivation and experience.

Deadline for application: until post filled

Start date: 01 October 2020

If you have any queries about the application process, please contact:

Dr. Amani El-Kholy at: a.o.el-kholy@imperial.ac.uk

Or Fay Miller at: f.miller@imperial.ac.uk

This position will be based at the South Kensington campus in central London, next to Hyde Park and the museums of South Kensington.

Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

Closing date: 29th June 2020

 We are 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.

 

Research Associate (Data Assimilation and Machine Learning)

Salary: Research Associate £40,215 - £47,579
Candidates who have not yet been officially awarded their PhD in  bioinformatics, biology, computer science or significant experience will be appointed as Research Assistant within the salary range £35,477 - £38,566 per annum. 

Location: South Kensington

Job Summary 

Applications are invited for a Researcher to join the newly launched Leverhulme Centre for Wildfires, Environment and Society. The Research Associate will work at the Data Science Institute (DSI) with Dr Rossella Arcucci and other researchers of the DataLearning team. Within the DSI the post holder will be part of the DataLearning working group.

You will be leading in the international research into the development of a range of the next generation data assimilation and machine learning models and applications to wildfire estimations and predictions. 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. 

Duties and responsibilities 

You will be expected to:

  • plan and carry out research in accordance with the project aims and under instruction from the project investigators
  • To take initiatives in the planning of research
  • To direct the work of small research teams
  • To identify and develop suitable techniques, and apparatus, for the collection and analysis of data
  • To conduct data analysis
  • To ensure the validity and reliability of data always
  • To maintain accurate and complete records of all findings
  • To write reports for submission to research sponsors
  • To present findings to colleagues and at conferences
  • To submit publications to refereed journals
  • To provide guidance to staff and students 

Essential requirements 

  • Research Associate level: A PhD in Mathematics, Physics, Computing, Engineering

Candidates who have not yet been officially awarded their PhD in, Mathematics, Physics, Computing, Engineering or significant experience will be appointed at Research Assistant level

  • A background in computational science, in particular optimisation, data analysis, and data assimilation techniques (adjoint, enKF etc)
  • 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
  • Knowledge of MPI programming and HPC platforms

Further information

JobDescription_DAandML

How to apply:

Via our website at https://www.imperial.ac.uk/jobs  and search using vacancy reference number: ENG01260

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: 30th April 2020 

Imperial Managers lead by example.

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.