14 Jan 2026
Job Information
- Organisation/Company
Rīga Stradiņš University- Research Field
Computer science » Modelling tools
Medical sciences » Health sciences
Technology » Medical technology- Researcher Profile
Recognised Researcher (R2)- Positions
PhD Positions- Application Deadline
16 Feb 2026 - 23:59 (Europe/Riga)- Country
Latvia- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
40- Offer Starting Date
14 Jan 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
Yes
Offer Description
Rīga Stradiņš University invites applications for a Researcher position at the Institute of Microbiology and Virology to join the research group of a tenured professor in data science.
About the Group
We are seeking a highly motivated Researcher in the field of artificial intelligence (AI) to join our research and innovation team. The candidate will contribute to designing, developing, and implementing advanced AI/ML solutions to support ongoing scientific, healthcare, and technological projects across the institute. This role involves working closely with interdisciplinary teams to transform data into actionable insights, novel tools, and impactful research outcomes.
Key Responsibilities
- Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.)
- Work with structured and unstructured datasets; perform data preprocessing, analysis, and validation
- Collaborate with clinicians, scientists, engineers, and project teams to integrate AI into research workflows
- Lead or contribute to scientific publications, grant proposals, and conference outputs
- Develop reproducible pipelines, documentation, and maintain code repositories
- Support AI capacity-building activities (training sessions, internal consultations)
- Ensure ethical, secure, and trustworthy AI practices in compliance with institutional and EU regulations
We Offer
- Opportunity to work in a leading international research environment
- Collaboration with multidisciplinary teams and international partners
- Career development, training, and publication opportunities
- Supportive and innovative working culture
Where to apply
cv@rsu.lv
Requirements
- Research Field
- Computer science » Modelling tools
- Education Level
- PhD or equivalent
Skills/Qualifications
- Doctoral or Master’s Degree in AI, Data Science, Computer Science, Biomedical Engineering, or related fields
- Experience in machine learning/deep learning projects
- Proven research or practical experience (publications, other academic and professional experience)
Specific Requirements
- Proficiency in Python and major AI frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data pipelines, statistics, and model evaluation
- Ability to work independently and collaboratively
- Strong problem-solving and analytical skills
- Excellent written and spoken English
Desirable
- Experience in healthcare, biometrics, imaging, or digital health
- Experience with federated learning, trustworthy AI, privacy-preserving analytics
- Experience with cloud platforms or HPC environments
- Knowledge of regulatory and ethical considerations in AI
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Benefits
Monthly Salary (Gross): from EUR 2240 to 3000
Selection process
How to Apply
Please submit the following documents (combined into a single PDF file) by sending to cv@rsu.lv :
- CV
- Motivation letter explaining your past experience, suitability, and motivation
- List of publications/portfolio (if applicable)
- Copies of educational documents
- Contact details of two referees
- Website for additional job details
https://www.rsu.lv/en/node/286114
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Rīga Stradiņš University, Institute of Microbiology and Virology
- Country
- Latvia
- City
- Riga
- Postal Code
- LV-1067
- Street
- Rātsupītes street 5
- Geofield
Contact
- City
Rīga- Website
http://www.rsu.lv/en- Street
Dzirciema street 16- Postal Code
LV-1007
cv@rsu.lv
STATUS: EXPIRED
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