WDSS: Term 2 Research Projects

Student Researcher

  • WDSS
  • Coventry, UK (Remote)
  • Part-time

What can you expect?

As a Student Researcher you will be working directly with one of the experienced WDSS exec member or associate (either a finalist or a postgaduate student). To allow for the best match between your personal interest and our expertise the exact details of the projects are still up in the air. We are the most excited to work with you in the following methodological areas:

  • Bayesian Data Analsysis
  • Clustering and Dimensionality Reduction
  • Natural Language Processing
  • Algorithmic Game Theory
  • Social Networks
  • Graph Neural Networks
  • Computational Chemistry
  • Computational Statistics

A crucial aspect of WDSS projects is the interdisiplinarity. The potential application areas cover: political sciences, sports analytics, medicine, biology, chemistry, economics, and finance. And we are always happy to explore new fields!

To help you start thinking about the project, here are some rough ideas proposed by us:

  • Sentiment analysis on Twitter responses for political cartoons and their evolution over time.
  • Clustering of political regions based on census and electoral data.
  • Quick-Count models, how to (efficiently) estimate the result of an election the same night?
  • The use of machine learning or non-parametric statistics in clinical trials - e.g. How to compare multiple hazard rate functions?
  • Is the contextual sensitivity of BERT word embeddings worth the increased computational cost?
  • Natural Language Processing for football players transfer value.
  • Who are you most likely to make friends with? Graph Neural Networks for link predictions.
  • Crackind down drug cartels with agent-based modelling and Network Science.
  • How to solve the markets? A review of algorithmic trading strategies.
  • Financial time series analysis — conventional vs. novel approaches.
  • Data dirven approach for building a perfect movie / song playlist.

Role Responsibilities

  • Research the topic, read relevant publications
  • Apply acquired knowledge to a specific data-driven problem (Python or R skills are expected)
  • Attend weekly meetings to discuss the progress of work
  • After a succesfful completion of the project, write a summary of your work in the form of a blog post to be published on WDSS's research website

Candidate Attributes

  • Good familiarity with either Python or R.
  • Drive and curiosity, with an interest for data science / machine learning or related fields.
  • Sharp organizational and time management skills.

How to Apply

Use the application button on this page or email recruitment@wdss.io. The body of your application should include your CV together with one paragraph for each of the following points:
  • What is your experience with Data Science / Machine Learning or any other relevant experience ?
  • What are your interests? Do you want to learn more and do research about a specific methodology? Are you more interested in an applied data analsyis project? What is the application area that you are most interested in? Perhaps you can make a connection with your personal hobbies?
  • If you have a particular idea for a project in mind, please provide us with a short description. (optional)
We will promptly get in touch to discuss the role further.

Job Overview

  • Posted date : 12 Jan 2022
  • Location : Coventry, UK (Remote)
  • Job nature : Part-time
  • Start date : ASAP
  • Application start : 12 Jan 2022
  • Application end : 23 Jan 2022/span>

You can find the full application details in the job listing.

About WDSS

WDSS is a student-led society focused on spreading the word of interdisiplinary data science through talks, networking, teaching, and research.