PhD in NLP for Dementia Care Analytics (4‑yr funded)

Varbi Recruit; Solna kommun; On-site; SEK 357,120 - 401,760; Full time

Benefits offered by this job

Doctoral salary

Free gym access

Medical care reimbursements

Job summary

Karolinska Institutet invites applications for a Doctoral (PhD) student position in digital innovation for dementia care. The PhD student will join a multidisciplinary team at the Division of Neurogeriatrics, working with large healthcare datasets, NLP, and health-economic analyses.

The position offers a doctoral studentship with a contractual salary and opportunities for international collaboration. The successful candidate should have a quantitative background, strong Python skills, and an

Qualifications

• Background in computer science, data science, engineering, statistics, or bioinformatics.
• Strong programming skills, preferably in Python.
• Experience applying NLP and deep learning in healthcare or biomedical research.
• Experience with large-scale healthcare databases, registries, or real-world health data.

Responsibilities

• Analyze large linked registry datasets and apply NLP to clinical documentation.
• Conduct longitudinal and health-economic analyses for dementia care.
• Publish findings and contribute to methodological development.
• Collaborate with interdisciplinary teams and disseminate results.

Skills

Python

Natural Language Processing

Deep Learning

Data Analysis

Education

Master's degree in Computer Science / Data Science / Engineering / Statistics / Bioinformatics

Tools

Large healthcare databases

Electronic health records

Job description

Karolinska Institutet invites applications for a Doctoral (PhD) student position in digital innovation for dementia care. The PhD student will join a multidisciplinary team at the Division of Neurogeriatrics, working with large healthcare datasets, NLP, and health-economic analyses.

The position offers a doctoral studentship with a contractual salary and opportunities for international collaboration. The successful candidate should have a quantitative background, strong Python skills, and an