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51好读  ›  专栏  ›  轻松参会

伦敦大学学院招全职研究助理-非结构化数据统计建模

轻松参会  · 公众号  ·  · 2024-04-27 15:14

正文

投递链接:

https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/apply?jobId=Q1KFK026203F3VBQBLO8M8M07-22164&langCode=en_GB


Research Assistant


  • Ref Number

  • B03-01988

  • Professional Expertise

  • Research and Research Support

  • Department

  • UCL SLASH (B03)

  • Location

  • London

  • Working Pattern

  • Full time

  • Salary

  • £34,605–£39,980

  • Contract Type

  • Fixed-term

  • Working Type

  • Hybrid

  • Available for Secondment

  • No

  • Closing Date

  • 03-May-2024


About us


University College London (UCL) is the largest of the colleges in the federation that makes up the University of London. It is consistently rated as one of the top multi-faculty universities in the UK and has an annual turnover in excess of £400m. UCL is one of the UK’s premier research institutions encompassing immense research strength across all areas. It is also developing numerous interdisciplinary research centres. UCL has an excellent library and the library resources available in London, such as the British Library, are unrivalled in the UK.

The department has an outstanding international reputation in key areas of current research including applied theory, econometrics, game theory, labour economics, development economics, and macroeconomics. The Department of Economics has placed #1 for research environment and outputs in the 2021 REF results and ranked #3 overall.


About the role


UnStruct is a H2020 European research project studying how to build new statistical models for unstructured data that allow for better inference for economically relevant variables.  Primary data sources of interest are textual corpora and financial transactions.

Prof. Stephen Hansen, the Principal Investigator, is seeking to appoint a Research Assistant to work on the UnStruct Project. The details of these duties will be assigned by Prof. Hansen. This will involve work on organizing unstructured datasets and helping to estimate statistical models.


About you


The post-holder will participate in projects relating to the UnStruct.

Duties and responsibilities:

  • The postholder will be responsible for executing various tasks related to the analysis of unstructured data via statistical models.

  • To contribute to the overall activities of the department as required.

  • As duties and responsibilities change, the job description will be reviewed and amended in consultation with the postholder.

  • The postholder will carry out any other duties as are within the scope, spirit and purpose of the job as requested by the line manager or Head of Department/Division.

  • The postholder will actively follow UCL policies including Equal Opportunities and Race Equality policies.

  • The postholder will maintain an awareness and observation of Fire and Health & Safety Regulations.


What we offer


Professor Stephen Hansen, is seeking to appoint a Research Assistant. This post is available starting in Summer 2024 for one year initially, with the possibility of an extension for another year dependant on the needs of the project.

The starting salary for this position will be Grade 6B, Point 25-27 of UCL Salary Scales (£37,332 – £38,966) per annum inclusive of London Allowance.

This will be a full-time position. The UCL full-time working week is 36.5 hours. Exact working arrangements are determined by Professor Stephen Hansen. Annual leave will be 27 days per annum pro rata and in addition, staff benefit from six College closure days per year.

The person appointed will work at the offices of the Department of Economics, Drayton House, 30 Gordon Street, London WC1H 0AX.


Our commitment to Equality, Diversity and Inclusion


As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion


Available documents

https://emea5-foc.lumessetalentlink.com/tlk/pages/fo/download_job_file.jsp?ID=Q1KFK026203F3VBQBLO8M8M07&nDocumentID=1837374&ptId=22164


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