Grujic graduated in 1999 from the School of Electrical Engineering, University of Belgrade, Serbia, specializing in the field of Optoelectronics and Laser technology. She pursued further education in Norway and completed her PhD at the Dept. of Physics and Technology, University of Tromsø in 2007. Her work involved microparticle manipulation by means of integrated optics («optical trapping») for Lab-on-a-chip applications. Deeply interested in interdisciplinary research, Grujic obtained a broad education completing close to fifty courses at the university level spanning from Material Science and Plasma Physics, over Signal Detection Theory and Artificial Intelligence to Biomedical Instrumentation.
As one of the first four employees at Teknova, a research institute in Kristiansand, Grujic started an applied research career in 2008 working on optics and photonics-based inspection technologies for demanding (e.g. visually degraded and/or extreme temperature) environments in tight collaboration with the local metallurgical and offshore drilling industry. Drawing upon her broad background Grujic contributed also to other fields, e.g. investigation of novel inspection methods for condition monitoring of photovoltaic modules in the innovation project "Automation of field inspection in large scale solar farms". From 2019 to 2021 Grujic joined NORCE’s group for Technology for Health, Medicine and Learning and held an Adjunct Professor position at Oslo Metropolitan University, Biomedical Engineering research group.
Motivated by the major societal challenges and "wicked problems" (problems that are difficult to solve because of incomplete, contradictory, and changing requirements), and recognizing the potential in the emerging technologies, Grujic expanded her research interests to also include biosensors and digital health technologies.
Grujic is currently focused on developing technological convergence research ideas towards digitalization of metallurgy, closing the loop on circular economy, as well as exploitation of real-world data to resolve major societal challenges, e.g. diagnostics, monitoring, and treatment assessment of major diseases through development of digital biomarkers (objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices).