We are always looking for students to collaborate with, routinely supervising Master’s theses at the intersection of musicology and computing. We also offer for-credit semester projects and, occasionally, part-time employment opportunities in the shape of internships or assistantships.
- If you are inquiring about semester or thesis projects, please read the following list and contact either Dr. Yannis Rammos, or the designated project researcher, laying out your relevant background. You are also welcome to send us your own research proposal in a few sentences.
- If you are interested in a remunerated opportunity (internship or assistantship), please follow the instructions on this page (unless instructed otherwise in the project description).
Web development for graphic music analysis app
Semester project Bachelor's project Internship
Our lab’s reductive music analysis app is a serverless web interface which enables researchers to express music analyses in the form of mathematical graphs, and embed these graphs within music scores according to an XML-based standard (MEI). Originally published in 2022, the app has been under development in discontinuous fashion, resulting in a cluttered code base and an accumulation of feature requests and bug reports, which altogether hinder its adoption in actual research. We are seeking two (2) students with strong academic and professional interest in software engineering to undertake, respectively:
- a complete rewrite of the web app in type-safe code and a modern, event-driven JavaScript framework;
- feature development and bug fixes in the existing (“legacy”) code base.
Prerequisites:
- expertise and experience in front-end web technologies;
- commitment to code quality and maintainability;
- experience or strong interest in automated tests and CI;
- expertise in Vue.js, React, Svelte, TypeScript and/or other modern JavaScript paradigms;
- collaborative mindset.
Contact: Yannis Rammos
Perceptual abilities of musical experts
Semester project Bachelor's project Internship
Empirical research in music perception frequently compares the abilities of participants with no musical training to those with musical training. However, the definition of ‘musician’ used varies greatly across studies, and it is extremely rare to include participants with the very top levels of musical expertise. Using the DCML’s collaborations with world-class performing artists, we aim to test how the perceptual abilities of top experts differ from previous participants by replicating several existing (often inconclusive) behavioural experiments.
We are looking for semester or internship projects that could form a part of this larger endeavour of the lab. We expect such a project would involve the replication of an existing study of music perception, critically evaluating and updating its methods, implementing an online version, and analysing data.
Prerequisites:
- Familiarity with scientific method and experimental design
- Knowledge of statistics for experiment data analysis (frequentist or Bayesian)
- Expertise with JavaScript or online experiment frameworks such as
jsPsych,lab.jsorPsychoPy
Contact: Edward Hall