Hello, Thank you for your email. I am out of the office until June 21 with no access to my inbox. Your message will not be forwarded.
I will reply to your message as soon as possible after my return. Best regards, Jana Grimm, M.Sc. Ph.D. Candidate and Research Associate MaiNLP @ Center for Information and Language Processing at Munich University (LMU) Munich Center for Machine Learning (MCML) On 13. Jun 2026, at 09:34, jgrimm via Corpora <[email protected]> wrote: > Hello, > Thank you for your email. I am out of the office until June 21 with no access > to my inbox. Your message will not be forwarded. > > I will reply to your message as soon as possible after my return. > > Best regards, > Jana Grimm, M.Sc. > Ph.D. Candidate and Research Associate > MaiNLP @ Center for Information and Language Processing at Munich University > (LMU) > Munich Center for Machine Learning (MCML) > > > On 13. Jun 2026, at 09:18, jgrimm via Corpora <[email protected]> wrote: > > Hello, > Thank you for your email. I am out of the office until June 21 with no access > to my inbox. Your message will not be forwarded. > > I will reply to your message as soon as possible after my return. > > Best regards, > Jana Grimm, M.Sc. > Ph.D. Candidate and Research Associate > MaiNLP @ Center for Information and Language Processing at Munich University > (LMU) > Munich Center for Machine Learning (MCML) > > > On 13. Jun 2026, at 08:49, Mike Conway via Corpora <[email protected]> > wrote: > > The University of Birmingham (UK) and the University of Melbourne (Australia) > has a full-time funded joint PhD fellowship at the intersection of NLP, > speech analysis, and digital mental health. Please find further details > below. To apply, send your CV and academic transcripts to both Dr Melanie > Jouaiti ([email protected]) and Dr Mike Conway > ([email protected]). Please note that as this is an > interdisciplinary project, applicants from various disciplinary backgrounds > are welcome (e.g. computer science, linguistics, psychology, engineering, > cognitive science). However, a first class honours degree (or international > equivalent) and some prior research experience (e.g. a masters dissertation) > is required. > > > > > PROJECT DESCRIPTION > > > Project title: Automated analysis of clinical interviews > > > Project Summary: One fully funded project on the study of “Automated analysis > of clinical interviews from speech and language” is available. This Joint PhD > project will be primarily based at the University of Birmingham, UK with a > minimum 12-month stay at the University of Melbourne, Australia. > > > Project leaders: Please contact both Dr Melanie Jouaiti (Birmingham, > [email protected]) and A/Prof Mike Conway (Melbourne, > [email protected]) with your CV and academic transcripts. > > Project description: > This project will be developed in close collaboration with clinicians and > brings together expertise in speech processing, natural language processing, > and machine learning > > Talking therapies can be effective for common mental health and behavioural > problems. Although the use of talking therapies has increased substantially > in recent years, the mechanisms underlying their effectiveness remain poorly > understood, and quality assurance still relies on human assessors — an > approach that is both costly and difficult to scale. Achieving a better > understanding of the characteristics of different talking therapy-approaches, > combined with developing automated assessment methods for gauging therapy > quality, could improve therapist training and patient outcomes. > > This project will use language analysis (what was said), speech analysis (how > it was said), and large language models to address two research questions: > Can automatic analysis of talking therapy match the effectiveness of human > assessment? What mechanisms underpin talking therapy? > > > Qualifications: > • A bachelor degree in a relevant discipline which includes a > substantial research component equivalent to at least 25% of one year of > full-time study. Students should have achieved a first class honours degree > (or international equivalent) > AND/OR > • A Masters degree in a relevant discipline which includes a > substantial research component equivalent to at least 25% of one year of > full-time study. Students should have achieved a distinction (or > international equivalent) > > > > > _______________________________________________ > Corpora mailing list -- [email protected] > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to [email protected] > _______________________________________________ > Corpora mailing list -- [email protected] > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to [email protected] > _______________________________________________ > Corpora mailing list -- [email protected] > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to [email protected]
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