Ph.D. in Digital Intervention and Biomarkers in Outpatient Geriatric Psychiatry

Gefunden in: Talent CH C2 - vor 2 Wochen

Bern, Schweiz Universität Bern Vollzeit

University Hospital of Old Age Psychiatry and Psychotherapy
Start of employment: 01.05.2024 or by agreement
Employment is fixed term for 3 years.
Place of work: Bern

Our research focuses on healthy ageing and neurodegenerative and mental illness in people over the age of 65. Our expertise is drawn from geriatric psychiatry, neuropsychology, clinical psychology and computer science.

As part of this research, you will be significantly involved in designing, implementing and analysing a study on developing digital biomarkers using passive sensing. Your role will include the design of a comprehensive data analysis pipeline based on one or more available data streams. You will be responsible for pre-processing and analysing the data and developing machine-learning models to identify and validate digital biomarkers. This role requires a deep understanding of data-driven research methods and the ability to interpret complex data sets and develop innovative solutions to geriatric psychiatry and psychology challenges.

Tasks Conceptual development, implementation and evaluation of a longitudinal passive sensing study in outpatient geriatric psychiatry. Investigation of the usefulness of passive sensing as a complementary or alternative measurement instrument for predicting symptoms, diagnoses and therapy success. Development of a feedback platform for patients and therapists, including a possible automated transcription of the therapeutic conversation. Communication and publication of research results (specialist journals, conference papers), possibly support for testing (inpatient and outpatient) and teaching. Requirements Completed university degree in psychology, computer science, medical informatics or a comparable degree with a Swiss GPA of 5.0, a German GPA of 2.0, or similar GPA based on the grading system Interest in geriatric psychiatry/psychology, the associated challenges and possible digital solutions in response to these challenges Prior knowledge and recognisable interest in the areas of data processing, feature engineering (e.g. OpenSmile, Praat), machine learning and statistical programming skills (R or Python) Strong interest in research, scientific writing and an academic career Very good written and spoken English; knowledge of German is an advantage High level of motivation, initiative and ability to work in a team Results-orientated way of working with a willingness to perform An affinity for technology and an interest in new technologies Enjoy working in an interprofessional and interdisciplinary setting We offer Varied, multifaceted, and challenging tasks at the interface between medical, psychological and technical research An agile and committed team with clinical and technical expertise A large degree of creative freedom Very good academic career development opportunities Application and contact For subject-specific questions and information about the position, please contact Dr. Gisbert W. Teepe, gisbert.teepe@unibe.ch. Please send your application with the usual documents electronically by no later than 30.04.2023 to the following e-mail address: gisbert.teepe@unibe.ch

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