Research Associate

7 months ago


South Kensington, United Kingdom Imperial College London Full time

Do you want to use data and analytics to make an impact on our industry, economy and society? This is the core focus of our team at the Dyson School of Design Engineering at Imperial College London. The team is led by Prof. Pierre Pinson, with close ties and strong interaction with colleagues at the Dyson School of Design Engineering, at Imperial College London, in the UK, and with international partners.

The Research Associate will be expected to engage in independent and collaborative research, to find pathways towards real-world implementation and impact, to mentor students and junior colleagues, and to disseminate the work through scientific publications, conference presentations, seminars and broader audience outreach.

**Duties and responsibilities**:
promptlyguideAttendinitiativeResearch Duties:

- To explore the relevance of these approaches to discover drivers of balancing costs in the UK power system
- To assess the predictive quality and value of such approaches
- To prototype data products (e.g., dashboarding and full-stack development)
- To take initiative in the planning of research
- To maintain accurate and complete records of all findings
- To write reports for submission to research sponsors, and to present the work performed to industrial partners
- To present findings to colleagues and at conferences
- To attend relevant workshops and conferences as necessary
- To promote the reputation of the Group, the Department and the College
- To provide guidance to PhD Students
- To conduct and plan own scientific work with appropriate supervision.
- To actively participate in the research programme of the Group
- To publish in high-quality journals and to present data at national and international meetings
- To participate in Group research meetings and internal seminars
- Assist in the supervision of undergraduate and postgraduate research students and research assistants as required

Where Imperial or funder conditions necessitate, you will be required to complete timesheets for your work on projects in a timely manner.

**Essential requirements**:

- Hold a PhD in Statistics, Applied Mathematics, Computer Science, Electrical Engineering, or a closely related discipline, or equivalent research, industrial or commercial experience- Practical experience within a research environment and/or publication in relevant and refereed journals
- Practical experience in a broad range of techniques within descriptive and predictive analytics
- Knowledge of statistics, descriptive analytics, forecasting, industrial and business statistics
- Advanced programming skills in, e.g., Julia, R and/or Python
- Ability to conduct a detailed review of recent literature
- Creative approach to problem-solving
- Excellent verbal communication skills and the ability to deal with a wide range of people
- Excellent written communication skills and the ability to write clearly and succinctly for publication
- Ability to organise own work with mínimal supervision
- Ability to prioritise own work in response to deadlines
- Advanced computer skills, including word processing, spreadsheets and the Internet

Please refer to the job description for a list of the essential and desired criteria.

**Further information**:
Further information about the post is available in the job description.

**Documents**:

- Job Description Research Associate.pdf


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