Researcher in artificial intelligence for future healthcare solutions

About this job

The position An exciting position as Researcher is available in the Department of Computer Science within the TRUSTING project ( https://trusting-project.eu/ ). The project is funded by the EU until 31st December 2028. The position is for one year initially. The research focuses on voice and language-based AI for psychosis relapse detection and will be conducted within a thriving research group that has recently received grants of excellence. The goal is to contribute broadly to research on applications of AI in medicine, specifically to the development and validation of novel computational language models, algorithms, and tools for spoken language-based detection of schizophrenia relapse in 6 different languages. The workplace is at UiT in Tromsø. Ideally, you can start as soon as possible but must be able to start in the position in Tromsø within a reasonable time after receiving the offer. The project TRUSTING is a research project where an international interdisciplinary team are developing a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse risk. The developed monitoring system will be used in a forthcoming randomized clinical trial where the goal is to validate the clinical outcomes of those affected by schizophrenia. Within this project, we are seeking a researcher with a strong computer science background to take an active role in developing novel machine learning based systems and tools on the path towards clinical use and implementation of AI for the treatment and care of patients. The candidate will contribute broadly to the project to enable the development of new algorithms for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype implementation of early warning- and other AI-based decision support systems to study the effectiveness and safety of a novel clinical decision tool that is based on SLP/NLP and utilizes large language models. The monitoring system has three main parts, namely a secure backend for recording sounds from mobile phones, a platform for data cleaning and machine learning model development, and a front-end app used by the patients. Therefore, an interest in working with state-of-the-art MLOps technology is an advantage. The project will focus on interaction with clinicians, with a goal of closing the gap between foundational research in machine learning and the clinical use of machine learning methods for the benefit of patients from a healthcare point of view. Hence, the work will be conducted in a highly interdisciplinary research environment and the candidates will collaborate with an international team consisting of clinicians, researchers in science and technology, health, industry partners, as well as personnel responsible for ICT, data security, privacy concerns and more. The UiT team will collaborate with the other research teams within the TRUSTING consortium. Contact Further information about the position and UiT is available by contacting: Professor Brita Elvevåg: phone; email: Professor Lars Ailo Bongo: phone; email: Associate Prof. Sandra Just, phone; email: General and administrative questions: Head of administration Martin Fjellvang Osima, phone; email: Qualification requirements We are looking for applicants with a strong background, interest and expertise in computer science research with a focus on machine learning methods for the health domain, with strong coding skills and familiarity with state-of-the-art machine learning frameworks. We would like an interested, active and highly motivated candidate who likes to explore new technologies, and who is an independent thinker but also a team player who will enjoy collaborating with other researchers and clinicians. The position requires a PhD degree in computer science or a related field (e.g., computational behavioral science) a publication record that document solid expertise in computer science strong technical skills since the position is part of an interdisciplinary project, close interaction with other project participants will be required. good communication skills in English are necessary and documented fluency in English is required. personal suitability: Our working culture is important to us. We will emphasize the applicants motivation for the position and personal suitability. We are looking for candidates who display the following: Collegial team player, ability to cooperate and communicate well with other members of staff and contribute to a good working environment. Strong networking skills, ability to collaborate and conduct scientific leadership Interest in strategy and strategic development of the department. Good communication skills and ability to engage with academic, stakeholder and public audiences. An advantage: previous experience in natural language

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