ML & Multimodal Biomarkers Research Assistant

EURAXESS Ireland; Malmö kommun; On-site; SEK 279,000 - 390,600; Part time

Job summary

The Faculty of Technology and Society at EURAXESS Ireland is seeking a part-time Research Assistant in Malmö, Sweden, starting August 15, 2026. This role focuses on developing machine learning-driven frameworks for performance monitoring, specifically using voice biomarkers.

The ideal candidate will have a degree in Computer Science or related fields, strong programming skills, and experience with wearable technologies. The position is campus-based and requires regular on-site presence.

Additional qualifications include familiarity with various data analysis techniques, communication skills, and the ability to work in interdisciplinary teams.

Qualifications

• Completed a degree at the advanced level or equivalent expertise.
• Strong programming skills in relevant areas.
• Experience in machine learning, wearable technologies, and signal processing.

Responsibilities

• Conduct literature reviews on relevant technologies.
• Support experimental design and implementation.
• Assist in collecting and managing multimodal datasets.

Skills

Machine Learning and Data Analytics

Wearable Technologies and Sensor Systems

Signal Processing and Time-Series Analysis

Speech Processing or Voice Analytics

Mobile Application Development

Human-Computer Interaction and User-Centered Design

Education

Degree in Computer Science, Data Science, Machine Learning, Embedded Systems, Human-Computer Interaction, Sports Technology, or related discipline

Tools

Python

Data analysis tools

Job description

The Faculty of Technology and Society at EURAXESS Ireland is seeking a part-time Research Assistant in Malmö, Sweden, starting August 15, 2026. This role focuses on developing machine learning-driven frameworks for performance monitoring, specifically using voice biomarkers.

The ideal candidate will have a degree in Computer Science or related fields, strong programming skills, and experience with wearable technologies. The position is campus-based and requires regular on-site presence.

Additional qualifications include familiarity with various data analysis techniques, communication skills, and the ability to work in interdisciplinary teams.