PhD Student in Computer and Systems Sciences (IoT & Machine Learning)

Stockholm University’s Department of Computer and Systems Sciences offers a four-year fixed-term doctoral position focusing on resource-efficient on-device AI and machine learning for IoT systems. The successful candidate will research multimodal data fusion, compact vision-language and time-series models, model compression, and fairness across constrained devices. Working within an international academic community in Kista, Stockholm, the researcher will engage in coursework, collaborative research, and limited departmental duties. Applicants are expected to demonstrate strong scientific maturity, independent analytical skills, and relevant second-cycle academic training.

• Conduct original doctoral research on resource-efficient multimodal machine learning for constrained IoT systems
• Develop and evaluate compact models integrating sensor data, images, audio, video, and text for real-time edge inference
• Investigate model compression, quantization, hardware-aware optimization, and adaptive inference techniques
• Analyze and mitigate algorithmic biases through subgroup identification and fairness-aware methodologies
• Participate in doctoral coursework, academic seminars, and interdisciplinary scientific exchanges
• Contribute to departmental teaching, research, and administrative tasks up to a maximum of 20% of full-time duties