Closing Date Sunday, 1st March 2020
Department Nottingham University Business School
PhD studentship with Nottingham University Business School’s N/LAB.
We are currently looking for a collegial, highly-motivated, enthusiastic, creative and curious Applied Data Scientist or Quantitative Marketing Researcher to join us as a PhD Candidate within N/LAB - Nottingham University Business School’s centre of excellence for analytics and data science. N/LAB has expertise in fields such as machine learning, geospatial data analytics and computational social science, and researchers in the group work on a variety of high-impact projects across commercial and prosocial themes. The successful candidate will work on the project: Starting to Get the Picture: Predicting Visual Social Media Content Success with Granular Visual Features, under the supervision of Dr Benjamin Lucas and Professor Andrew Smith.
The project involves the development of predictive models based on different types of image features (e.g. objects, textures, geometry, layouts, colour palettes, typefaces) and image mining techniques, informed by practical knowledge on social media content strategy design, theorising from psychology and consumer psychology (e.g. processing fluency and decision heuristics), and state-of-the-art developments in computational social science and computer vision. Applicants must use this brief as the basis for their research proposal document as part of their application (see below).
The successful candidate will have a background in a relevant quantitative and / or social science field (e.g. computer science, statistics, psychology, sociology, marketing - or other relevant business fields). Experience with a programming language used in data science and computational marketing research (e.g. Python, R, SQL) is a plus. Where this applies, candidates should clearly detail what their experience involves (e.g. statistical programming, machine learning, data manipulation, data visualisation, database management etc).
In addition to this, and the requirements below, the successful candidate will demonstrate in their application for this position an interest in multi-disciplinary research, the ability to engage in creative problem solving in research, and a strong understanding of the potential to connect academic research with practical outcomes.
Applicants should also highlight any industry experience (e.g. previous positions, internships, secondments and consultancy work), as well as any other relevant skills, interests and experience.
This funded PhDs will commence from 1st October 2020. A yearly stipend at current RCUK rates (£15,009), plus UK/EU student tuition fees (£4,414), is available to the successful applicant.
How to apply
Applicants should have:
Complete the online application. Your application must include a research proposal and should indicate the area in which the research will be conducted and the key issues that you want to examine in more detail.
In addition, please also enclose the following with your application form:
Entry onto our PhD programme is very competitive. If you fulfill all of the admissions requirements, it does not guarantee that you will be offered a place. We also consider:
Once your online application has been submitted, please email firstname.lastname@example.org to indicate you would like to be considered for this scholarship.
Closing date: 23.59pm [BST] on 1st March 2020. Applications submitted after this time will not be considered.
Shortlisted candidates will be called for interview to be held at Nottingham University Business School on Tuesday 24th March 2020. The successful candidates will be notified by Friday 10th April 2020.
For further information, please contact:
Dr. Benjamin Lucas, Assistant Professor, N/LAB (Benjamin.Lucas@Nottingham.ac.uk)
Professor Andrew Smith, Professor, N/LAB (Andrew.P.Smith@Nottingham.ac.uk)
PhD Open Day
We are holding a PhD open day on Wednesday 12th February 2020 more details can be found here.Continue reading
|Title||PhD Studentship – Starting to Get the Picture: Predicting Visual Social Media Content Success with Granular Visual Features – N/LAB|
|Employer||University of Nottingham|
|Job location||University Park, NG7 2RD Nottingham|
|Published||January 14, 2020|
|Application deadline||March 1, 2020|
|Job types||PhD  |
|Fields||Marketing,   Media and Communication Studies,   Behavioural Economics,   Computational Economics,   Consumer Economics,   Behavioural Science,   Machine Learning  |