8 English-speaking jobs in Örebro

Become a face-to-face fundraiser for Swedish Red Cross in Örebro. Represent the organization and engage with the public to raise funds for humanitarian aid.

Doctoral student in Chemistry to join the COAST PFAS research project. The project focuses on identifying, mapping, and quantifying PFAS sources and transport pathways in urban water systems and coastal environments. The PhD project involves advanced analytical methods, data interpretation, and collaboration with researchers across academia, industry, and the public sector.

Doctoral student position in Chemistry focusing on PFAS in coastal environments. Research involves analytical chemistry, wastewater analysis, and mass-balance approaches using advanced methods like LC-MS/MS.

Doctoral student position in Computer Science focusing on cybersecurity for embodied AI. Research investigates how physical embodiment affects AI security and autonomous adaptation to threats. Requires a strong background in cybersecurity.

Doctoral student position in cybersecurity for embodied AI at Örebro University. Research will focus on how embodiment and physical configuration affect the cybersecurity posture of AI-driven systems, the role of self-awareness in security, and how dynamic reconfiguration can enhance resilience.

Doctoral student position focusing on explainable machine learning for neuromorphic computing in predictive materials discovery. Requires a Master's degree in a relevant field and strong analytical skills. English fluency is essential.

A La Carte Chefs needed for a busy summer season at a Swedish destination resort. Must have at least one full season of experience in a larger hotel kitchen, be comfortable working across multiple stations (grill, pizza, banquet, pastry support), and maintain quality and consistency during high-volume service. Fluent English required. EU/EEA citizenship or valid right to work in Sweden. Immediate start through mid-September.

Doctoral student position in Computer Science focusing on explainable machine learning for neuromorphic computing in predictive materials discovery. The project is part of a larger WASP-WISE funded collaboration with Uppsala University and KTH.