Research Officer (Post-Doctoral Researcher)
Research

LSE is committed to building a diverse, equitable and truly inclusive university

 

 

Department of Statistics

 

Research Officer

 

Salary from £34,736 to £40,806 pa, inclusive of London allowance


This is a fixed term appointment for two years

 

 

The Department of Statistics enjoys a vibrant research environment and offers a comprehensive programme of undergraduate and postgraduate degrees in Statistics.

 

Applications are invited for a post-doctoral Research Officer position, tenable from 3 September 2018 for two years.

 

You will work on the research project “Forecasting Oil Prices Based on Quantitative methods” funded by Andurand Capital Management (ACM). You will work 4 days per week at LSE and one day per week at ACM, under the direction of Professor Qiwei Yao and Dr Yining Chen (LSE), and Mr Pierre Andurand (ACM). The primary goal of this project to explore and to investigate the quantitative methods for forecasting price movements of oil and the related derivatives in the time horizons between one day to a few months. The distinctive feature is the integration of the cutting edge statistical and machine learning methods from LSE and the expert knowledge and experience on financial markets from ACM.

 

Candidates should have a completed PhD, or be at the final stage of PhD completion, in Statistics or a related subject, by the post start date. They should demonstrate advanced research skills and an emerging track record of research and publication, the ability or willingness to learn to handle complex and unstructured data, and the ability to program in R and other programming languages. Experience in time series research is desirable but not essential.

 

We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.

 

For further information about the post, please see the how to apply document, job description and the person specification.

 

To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email q.yao@lse.ac.uk or y.chen101@lse.ac.uk   

 

The closing date for receipt of applications is Monday 21st May 23.59 UK time). Regrettably, we are unable to accept any late applications.

 

Interviews will be held on Monday 11th June 2018.

 

 

 

 

LSE is committed to building a diverse, equitable and truly inclusive university

 

 

Department of Statistics

 

Research Officer

 

Salary from £34,736 to £40,806 pa, inclusive of London allowance


This is a fixed term appointment for two years

 

 

The Department of Statistics enjoys a vibrant research environment and offers a comprehensive programme of undergraduate and postgraduate degrees in Statistics.

 

Applications are invited for a post-doctoral Research Officer position, tenable from 3 September 2018 for two years.

 

You will work on the research project “Forecasting Oil Prices Based on Quantitative methods” funded by Andurand Capital Management (ACM). You will work 4 days per week at LSE and one day per week at ACM, under the direction of Professor Qiwei Yao and Dr Yining Chen (LSE), and Mr Pierre Andurand (ACM). The primary goal of this project to explore and to investigate the quantitative methods for forecasting price movements of oil and the related derivatives in the time horizons between one day to a few months. The distinctive feature is the integration of the cutting edge statistical and machine learning methods from LSE and the expert knowledge and experience on financial markets from ACM.

 

Candidates should have a completed PhD, or be at the final stage of PhD completion, in Statistics or a related subject, by the post start date. They should demonstrate advanced research skills and an emerging track record of research and publication, the ability or willingness to learn to handle complex and unstructured data, and the ability to program in R and other programming languages. Experience in time series research is desirable but not essential.

 

We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.

 

For further information about the post, please see the how to apply document, job description and the person specification.

 

To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email q.yao@lse.ac.uk or y.chen101@lse.ac.uk   

 

The closing date for receipt of applications is Monday 21st May 23.59 UK time). Regrettably, we are unable to accept any late applications.

 

Interviews will be held on Monday 11th June 2018.