The Department supports applications for studentships via the Economic and Social Research Council’s North West Social Sciences Doctoral Training Partnership (NWSSDTP), which include standard studentships and CASE studentships (for collaboration with a non-higher education partner). NWSSDTP studentships are open to both applicants with a ‘Home’ fees or an ‘International’ fee status. However, across the DTP, no more than 30% of studentships can be allocated to applicants with an ‘International’ fee status. Within the NWSSDTP, applicants can apply for funding for a master's degree in combination with doctoral studies (1+3) or for funding to support their doctoral studies (+3). The NWSSDTP currently supports several studentships ring-fenced for students from a Global Majority background. The ESRC has also awarded the NWSSDTP a number of ‘steered’ studentships in the ‘priority areas’ of advanced quantitative methods, longitudinal studies (using ESRC datasets) and interdisciplinary work. Please visit our ‘Current Opportunities’ for information on how to apply via our Department.
Please see under ‘Current Opportunities’ for information on the application process.
Decoding Ruminative Inner Speech with Multimodal Brain-and-Articulatory Machine Learning
Applications are invited for a fully funded PhD studentship in the Department of Psychology, Lancaster University, hosted by the Data Science and AI Institute (DSAIL) and funded by an EPSRC Doctoral Landscape Award. The project develops a wearable, AI-driven brain-computer interface that detects spontaneous inner speech - the silent verbal stream involved in self-talk, rumination, and intrusive thought - and classifies its emotional content from a combination of brain activity (EEG) and tongue movement (ultrasound tongue imaging).
Supervisory team: Dr Bo Yao (Psychology, Lancaster), Professor Hossein Rahmani (Computing and Communications, Lancaster), Dr Sam Kirkham (Linguistics and English Language, Lancaster).
PhD project description: Inner speech is functionally involved in memory, planning, and self-regulation. It also manifests as verbal rumination, a feature of depression and anxiety, and is implicated in voice-hearing experiences in psychosis. Existing approaches mostly use silent-speech paradigms in which inner speech is produced on cue, but ruminative and intrusive thoughts arise spontaneously, so capturing them requires methods that work in naturalistic conditions.
This PhD will develop such methods, combining wearable EEG with portable ultrasound imaging of the tongue. The student will work at the intersection of cognitive/computational neuroscience, machine learning, and articulatory phonetics. They will translate an existing inner-speech classifier from research-grade laboratory EEG to a wearable form factor, and develop deep-learning models that identify spontaneous inner-speech episodes and characterise their emotional valence. The project will also establish what is achievable with wearable EEG alone, a critical step towards future clinical applications.
The student will be based in the Language, Inner Speech, and Neuroscience (LISN) Lab within the Department of Psychology, and embedded in the Imaging and Computer Vision Lancaster (iCVL) group (Computing) and the Phonetics Lab (Linguistics). They will be part of the DSAIL doctoral cohort, which brings together AI and data-science PhD students from across the university, with its own training programme, annual research events, and computational resources including Lancaster’s High-End Computing (HEC) GPU cluster. The Department of Psychology holds an Athena Swan Silver Award and supports an active research culture of seminars, writing workshops, and PhD-led activities.
Training and skills: Supervision is interdisciplinary, spanning cognitive neuroscience, machine learning, and articulatory phonetics. The student will develop hands-on skills in experimental design for EEG, ultrasound, and behavioural data collection; deep-learning model development; multimodal signal processing and fusion; articulatory speech analysis; and reproducible research practice with open-source software release. Outputs from the project will span cognitive neuroscience, machine learning, and phonetics venues.
Application details: The successful candidate will hold, or expect to obtain, at least an upper-second-class honours degree, and ideally a Masters, in computational neuroscience, computer science, or a closely related quantitative discipline. Strong Python programming skills and demonstrable machine-learning experience are essential. Applicants should complement this technical expertise with familiarity with neuroscientific or psychological experimental design - for example, in language, cognition, or inner speech research. Prior experience in signal processing, deep learning, and/or EEG and neuroimaging analysis is highly desirable.
Funding details: This 3.5-year full-time studentship is open to UK home students. It covers UK home fees, a tax-free stipend at the UKRI minimum rate for 2026/27 (£21,805 p.a.), paid subject to satisfactory progress, and a Research Training Support Grant (RTSG) of £1,000 per year for research-related expenses, conferences, and training. Additional cohort training and computational resources are provided through DSAIL.
How to apply (note there are 2 elements to the process): Please apply though the official University process. Instructions for applying through the University can be found at the Lancaster University Admission Portal. Please also submit your application materials via this Qualtrics form, which is specific to this PhD opportunity.
The materials required are:
- Academic CV along with the names and contact details of two referees who will be contacted directly (at least one must be academic).
- A sample of your work, either a code portfolio (e.g., a GitHub repository, a machine-learning project write-up, or other evidence of independent technical work) or an academic writing sample (e.g., an undergraduate or Masters dissertation, a coursework essay, or a peer-reviewed journal article). Both are welcome if you have them.
- A two-page personal statement / cover letter explaining your motivation and readiness for undertaking this PhD project.
- For the LU application, in place of a Research Proposal, you may upload a copy of this advertisement.
Dates
- Application deadline: 30 June 2026
- Provisional interview date: week beginning 20 July 2026
- Studentship start date: 1 October 2026
Informal enquiries: Prospective applicants are warmly encouraged to get in touch before applying. Please contact Dr Bo Yao (b.yao1@lancaster.ac.uk) for informal enquiries about the project, the supervisory team, or the application process.
The Department of Psychology at Lancaster University usually has one or more studentships funded by the Faculty of Science and Technology available. The award is for PhD funding (+3) and provides tuition fees at the ‘Home/UK’ rate, a maintenance stipend in accordance with UKRI rates, and access to a grant towards research training support. Applicants with an ‘International’ fee status must fund the difference between Home/UK and International fees themselves, if successful. As a department, we particularly encourage applications to work with early career staff. This year these include: Dr Carly Anderson, Dr Abigail Fiske, Dr Alice Milne, Dr Alice Rees, and Dr Heather Shaw. Applications to work with these members of staff are weighted preferentially at the short-listing stage for this studentship. Please see under ‘Current Opportunities’ for information on the application process.
Please see under ‘Current Opportunities’ for information on the application process.
Other opportunities will be posted here when available.