Research Associate

Cardiff University; Cardiff; Híbrido; GBP 42.000 - 47.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

45 days annual leave

Local pension scheme

Cycle to work scheme

Living Wage supporter

Descripción de la vacante

Cardiff University is seeking a postdoctoral Research Associate to join the SYLFAEN-PSY project in the Centre for Neuropsychiatric Genetics and Genomics (CNGG), Cardiff University School of Medicine. You will develop and validate LLM-based methods to infer psychotic symptoms from multimodal data, including clinical text and neuroimaging.

You will publish in international journals, supervise postgraduate researchers, and collaborate with industry partners.

Formación

• Hold a PhD in a relevant subject (or close to submission) or equivalent industry experience.
• Have a track record in psychiatric or psychometric research.

Responsabilidades

• Develop and validate LLM-based methods that extract and infer psychotic symptoms from multimodal data.
• Benchmark model inferences against gold-standard symptom-rating instruments across well-characterised cohorts.
• Collaborate with industry and healthcare partners to validate the system on external datasets (e.g., NHS Wales).
• Publish in international journals, present at conferences, and develop applications for research funding.
• Supervise postgraduate researchers and work with colleagues across divisions.

Conocimientos

PhD in a relevant subject

Psychometric research

LLM/data analysis experience

Educación

PhD in a relevant subject (or close to submission)

Descripción del empleo

Job Advert

Research Associate
Division of Psychological Medicine and Clinical Neurosciences
School of Medicine
College of Biomedical and Life Sciences

We are looking for a postdoctoral Research Associate to join the SYLFAEN-PSY project in the Centre for Neuropsychiatric Genetics and Genomics (CNGG), Cardiff University School of Medicine.

Measuring the symptoms of psychosis takes time that research studies and clinics rarely have, so most people with psychotic disorders are only ever partly assessed. SYLFAEN-PSY asks whether Large Language Models (LLMs) can infer those symptoms from data that studies already hold, accurately enough to stand alongside the rating instruments we use today. You can read more in our announcement of the project.

In this role, you will:

• Develop and validate LLM-based methods that extract and infer psychotic symptoms from multimodal research data, from clinical text to cognitive measures, neuroimaging-derived phenotypes and genomic information.
• Benchmark what those models infer against gold-standard symptom-rating instruments, using deeply characterised cohorts with thousands of individuals and multiple instruments.
• Work with our industry and healthcare partners to validate the system on external datasets, including NHS Wales records and a research network covering more than six million people.
• Publish in international journals, present at conferences, and develop your own applications for research funding.
• Supervise postgraduate research students and work with colleagues across the Schools of Medicine and Computational and Mathematical Sciences.

We’d like to hear from you if you:

• Hold a PhD in a relevant subject (or close to submission) or have equivalent experience from industry.
• Have a track record in psychiatric or psychometric research.

Experience with using LLMs for data analysis, or natural language processing research, will be welcome but it’s not needed for application. This project pairs our mental health research team with AI specialists in the School of Computational and Mathematical Sciences, and we expect both sides to learn from each other.

The CNGG brings together clinical, genomic, statistical and bioinformatic expertise to work on psychiatric, neurodevelopmental and neurodegenerative disorders. We take career development seriously, and the Centre has a strong record of helping people build expertise in the areas that interest them, secure funding, and advance to the next stage of their professional careers.

This post is based at the Hadyn Ellis Building, Cathays campus.

This role is eligible to be offered on a blended working basis, meaning that as well as spending time working on campus you can also choose to spend some time working from another location, e.g. your home. The University is committed to offering this flexibility, wherever the role and business need allows, supporting work-life balance.

Cardiff University offers many excellent benefits, including 45 days annual leave (incl bank holidays), local pension scheme, a cycle to work scheme and other travel initiatives, annual increments within the pay scale, and more. It is an exciting and vibrant place to work, with many different challenges and is a proud Living Wage supporter.

How we will support you in performing in this role –

1. Regular one-to-ones with your manager
2. An experienced and supportive team around you
3. Supporting you through job-relevant training and development that you may require
4. A mentoring scheme

For informal enquiries please contact Antonio Pardiñas ([e-mail]). If you are unsure whether your experience fits, please get in touch anyway.

This post is full-time (35 hours per week), available from 1st December 2026 and fixed term until 30th November 2028.

Salary: £41,885 - £46,970 per annum (Grade 6). Appointments to roles at Cardiff University are usually made at bottom of scale unless in exceptional circumstances.

Applications may be submitted in Welsh, and an application submitted in Welsh will not be treated less favourably than an application submitted in English.

Cardiff University is a signatory to the San Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible research assessment - Research - Cardiff University

Hysbyseb Swydd

Cydymaith Ymchwil
Yr Is-adran Meddygaeth Seicolegol a’r Niwrowyddorau Clinigol
Yr Ysgol Meddygaeth
Coleg y Gwyddorau Biofeddygol a Bywyd

Rydym yn dymuno penodi Cymrawd Ymchwil ôl-ddoethurol i ymuno â phrosiect SYLFAEN-PSY yng Nghanolfan Geneteg a Genomeg Niwroseiciatrig (CNGG), Ysgol Feddygaeth Prifysgol Caerdydd.

Mae mesur symptomau seicosis yn cymryd amser nad oes gan astudiaethau ymchwil a chlinigau'n aml, felly dim ond asesiad rhannol y bydd y rhan fwyaf o bobl ag anhwylderau seicotig yn ei gael. Mae SYLFAEN-PSY yn gofyn a all Modelau Iaith Mawr (LLMs) gasglu'r symptomau hynny o'r data sydd eisoes gan astudiaethau, yn ddigon cywir i sefyll ochr yn ochr â'r offerynnau graddio rydyn ni'n eu defnyddio heddiw. Gallwch ddarllen mwy yn y cyhoeddiad hwn am y prosiect.

Yn y rôl hon, byddwch yn:

• Datblygu a dilysu dulliau'n seiliedig ar LLM sy'n echdynnu ac yn casglu symptomau seicotig o ddata ymchwil amlfoddol, o destun clinigol i fesurau gwybyddol, ffenoteipiau'n deillio o niwroddelweddu a gwybodaeth enomig.
• Meincnodi'r hyn y mae'r modelau hynny'n ei gasglu yn erbyn offerynnau graddio symptomau safon aur, gan ddefnyddio carfannau wedi'u nodweddu'n fanwl gyda miloedd o unigolion ac offerynnau lluosog.
• Gweithio gyda'n partneriaid yn y diwydiant a gofal iechyd i ddilysu'r system ar setiau data allanol, gan gynnwys cofnodion GIG Cymru a rhwydwaith ymchwil sy'n cwmpasu dros chwe miliwn o bobl.
• Cyhoeddi mewn cyfnodolion rhyngwladol, cyflwyno mewn cynadleddau, a datblygu eich ceisiadau eich hun am gyllid ymchwil.
• Goruchwylio myfyrwyr ymchwil ôl-raddedig a gweithio gyda chydweithwyr ar draws yr Ysgolion Meddygaeth a'r Gwyddorau Cyfrifiadurol a Mathemategol.

Hoffem glywed gennych chi os yw’r canlynol yn berthnasol:

• Meddu ar PhD mewn pwnc perthnasol (neu’n agos at gyflwyno) neu brofiad cyfatebol mewn diwydiant.
• Profiad blaenorol mewn ymchwil seiciatrig neu seicometrig.

Croesewir profiad o ddefnyddio LLMs ar gyfer dadansoddi data, neu ymchwir prosesu iaith naturiol, ond nid yw'n angenrheidiol ar gyfer y cais. Mae'r prosiect yn paru ein tîm ymchwil iechyd meddwl ag arbenigwyr AI yn Ysgol y Gwyddorau Cyfrifiadurol a Mathemategol, a disgwylir i'r ddwy ochr ddysgu oddi wrth ei gilydd.

Mae'r Ganolfan Geneteg a Genomeg Niwroseiciatrig yn dwyn ynghyd arbenigedd clinigol, genomig, ystadegol a biowybodeg i weithio ar anhwylderau seiciatrig, niwroddatblygiadol a niwroddirywiol. Mae datblygu gyrfaoedd yn bwysig i ni, ac mae gan y Ganolfan hanes cryf o helpu pobl i feithrin arbenigedd yn y meysydd sydd o ddiddordeb iddynt, sicrhau cyllid, a symud ymlaen i'r cam nesaf yn eu gyrfaoedd proffesiynol.

Lleoliad y swydd yw Adeilad Hadyn Ellis ar gampws Parc Cathays.

Mae’r swydd yn gymwys i’w chynnig ar sail gweithio cyfunol. Mae hynny’n golygu, yn ychwanegol â gweithio ar y campws, y cewch weithio o leoliad arall, e.e. eich cartref, rywfaint o’r amser. Mae’r Brifysgol wedi ymrwymo i gynnig yr hyblygrwydd hwn pan fo’r swydd ac anghenion y busnes yn caniatáu, a hynny er mwyn sicrhau cydbwysedd rhwng y gwaith a’ch bywyd personol.

Mae Prifysgol Caerdydd yn cynnig pecyn buddion gwych, gan gynnwys 45 diwrnod o wyliau blynyddol (gan gynnwys gwyliau banc), cynllun pensiwn lleol, cynllun beicio i'r gwaith a chynlluniau teithio eraill, cynyddrannau blynyddol ar hyd y raddfa gyflog, a mwy. Dyma le cyffrous a bywiog i weithio lle ceir llawer o heriau gwahanol ac rydym yn falch o gefnogi’r Cyflog Byw.

Sut y byddwn yn eich helpu i gyflawni’r rôl hon –

1. Cyfarfodydd un i un rheolaidd gyda'ch rheolwr
2. Tîm profiadol a chefnogol o'ch cwmpas
3. Eich cefnogi drwy estyn cyfleoedd i chi hyfforddi a datblygu yn ôl yr angen mewn ffyrdd sy’n berthnasol i’r swydd
4. Cynllun mentora

Ar gyfer ymholiadau anffurfiol cysylltwch ag Antonio Pardiñas ([e-mail]) Os ydych chi'n ansicr a yw eich profiad yn addas, cysylltwch beth bynnag.

Swydd lawn amser yw hon (35 awr yr wythnos), ar gael o 1 Rhagfyr 2026 am gyfnod penodol tan 30 Tachwedd, 2028.

Cyflog: £41,885 - £46,970 y flwyddyn (Gradd 6). Ym Mhrifysgol Caerdydd, bydd unigolion fel arfer yn dechrau ar waelod y raddfa gyflog, ac eithrio o dan amgylchiadau eithriadol.

Applications may be submitted in Welsh, and an application submitted in Welsh will not be treated less favourably than an application submitted in English.

Mae Prifysgol Caerdydd wedi llofnodi Datganiad ar Asesu Ymchwil (DORA) San Francisco, sy'n golygu y byddwn, wrth wneud penderfyniadau cyflogi a dyrchafu, yn gwerthuso ymgeiswyr ar sail safon eu hymchwil, nid ar sail metrigau cyhoeddi na'r cyfnodolyn y mae'r ymchwil wedi’i chyhoeddi ynddo. Ceir rhagor o wybodaeth yma: Asesu ymchwil yn gyfrifol - Ymchwil - Prifysgol Caerdydd

Cardiff University is a signatory to the San Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible research assessment - Research - Cardiff University

Date advert posted: Tuesday, 27 October 2026

Closing date: Tuesday, 10 November 2026

Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all sections of the community regardless of sex, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. We especially welcome and encourage applications from those under-represented groups within the University workforce, such as those who identify as LGBT+, Ethnic Minority or those with disabilities. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements.

Applications may be submitted in Welsh, and an application submitted in Welsh will not be treated less favourably than an application submitted in English.