Principal Investigator of the Healthy living research group

Reports to

The CoE AI Research HUB Leader.

Type of Contract

Project-based contract until 31 August 2029.

Remuneration package

Salary is based upon Applicant experience and qualifications, as well as market and institutional regulations.

28,03 – 37,73 Eur per hour (bruto*).

*Gross income (in Lithuanian, BRUTO) is the amount of salary or wages paid to an individual by an employer before any deductions are taken.

Main Duties and Responsibilities

• Provide scientific leadership in AI for healthy living, digital health, and wellbeing system;
• Initiate and lead research, experimental development, and innovation (R&D/I) projects, including industry-driven projects, Horizon Europe, and other national/international programmes;
• Develop and apply advanced AI solutions within the One Health framework, integrating non-invasive monitoring, predictive analytics, early diagnosis, and personalized interventions across human, animal, and environmental health systems;
• Lead interdisciplinary collaboration between AI experts, healthcare professionals, biomedical researchers, and domain specialists;
• Establish and strengthen collaborations with healthcare institutions, industry partners, public health organizations, and international research centres;
• Ensure high-quality scientific output, including Q1 publications, datasets, open-source tools, prototypes, and demonstrators;
• Supervise PhD students and mentor early-stage researchers;
• Contribute to proposal preparation and coordination of international research consortia.

Where to apply

E-mail: ugne.geniene@lsmu.lt

Requirements

Research Field: Medical sciences » Health sciences

Education Level: PhD or equivalent

Skills/Qualifications

Applicants should meet the following requirements:

• Hold a PhD in a relevant field (e.g., medicine, health sciences, or related disciplines);
• Qualification level equivalent to Senior Researcher / Principal Investigator;
• Proven scientific track record, including at least three peer-reviewed publications (preferably in Q1/Q2 journals) in AI for healthcare, digital health, biomedical data analysis, medical imaging, or related domains;
• At least 3 years of managing experience in international R&D/I projects related to AI in healthcare, wellbeing technologies, multi-modal data analysis, or assistive technology;
• Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related or similar contexts;
• A minimum of 1 year of experience in supervising R&D/I research projects or teams in AI, big data, healthcare, or related domains;
• Strong understanding of real-world healthcare systems, including medical and multimodal data (e.g., clinical, imaging, sensor, and wearable data);
• Strong leadership, organizational, and interdisciplinary collaboration skills;
• Experience in collaboration with healthcare providers, industry, or public sector stakeholders is considered an advantage;
• Language proficiency: Lithuanian (C1) and English (C1).

The list of documents that each Applicant must submit:

• Curriculum Vitae (CV) clearly outlining how the applicant meets the position requirements;
• Copy of Master’s degree diploma(s) certifying higher education;
• Copy of PhD diploma;
• Any other supporting documents the applicant considers relevant.

Method of Applications’ Submission and Closing Date for Applications

• Please submit all the required documents by email: ugne.geniene@lsmu.lt (through October 2, 2026 inclusive) and agne.dorelaitiene@lsmu.lt (from October 5, 2026 through October 9, 2026 inclusive)
• Applications must be submitted by October 9, 2026 (inclusive).
• The contact person who will provide information about the procedure: Ugnė Genienė, e-mail ugne.geniene@lsmu.lt, phone number +370 686 40676 (available through October 2, 2026 inclusive), Agnė Dorelaitienė, e-mail agne.dorelaitiene@lsmu.lt, phone number +370 699 45368 (available from October 5, 2026 through October 9, 2026 inclusive).

Languages: LITHUANIAN — Level: Excellent

Languages: ENGLISH — Level: Excellent

Additional Information

Benefits

• Leadership role in a Centre, shaping the future of AI in healthcare, healthy living, and wellbeing;
• Opportunity to lead high-impact international R&I projects (e.g., HE, Digital Europe);
• Access to cutting-edge research infrastructure, including HPC resources, advanced IoT and sensing technologies, AI testbeds, and experimental environments for real-world validation;
• Strong collaboration ecosystem with healthcare institutions and industry partners, enabling real-world deployment and validation of AI solutions;
• Support for building and leading your own research team, including PhD students, postdoctoral researchers, and interdisciplinary experts;
• Dedicated support for grant development and project management;
• Opportunities for scientific excellence and visibility, including publications, keynote talks, and participation in global AI networks.

Eligibility criteria

The Employer does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

Work Location(s)

Number of offers available: 1

Company/Institute: Lithuanian University of Health Sciences

Country: Lithuania

City: Kaunas

Postal Code: LT-50161

Contact

City: Kaunas

Website: https://lsmu.lt/en/

Street: Mickeviciaus str. 9