Örebro University invites applications for a fully funded PhD position in Computer Science, focusing on the application of large language models (LLMs) in health-related domains. The successful candidate will join the Machine Perception and Interaction Lab, a multidisciplinary research group at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. This project is part of a collaborative research environment involving Örebro University, Karolinska Institutet, and Region Skåne, integrating expertise in AI, epidemiology, and psychiatry. The research will center on developing innovative AI methods for processing unstructured medical text and register-based health data, aiming to improve prediction, prevention, and individualized treatment in youth mental health. The PhD student will work with advanced techniques such as retrieval-augmented generation (RAG) and causal machine learning, contributing to the responsible and ethical use of LLMs in healthcare, with a strong emphasis on data privacy. The doctoral programme consists of both coursework and an independent research project, culminating in a doctoral thesis. The programme is designed to be stimulating and purposeful, offering a thorough introduction, tailored seminar series in computer science, and opportunities for networking and career development. The position is linked to a full-time doctoral studentship, guaranteeing employment for four years (subject to satisfactory progress), with an initial monthly salary of SEK 32,300. Applicants must hold a second-cycle qualification (Master's degree or equivalent), with at least 240 ECTS credits, including 60 credits at the second-cycle level. Specific entry requirements include a Master of Science in Engineering or a one-year Master's degree in computer science or related subjects, or at least 120 credits including an independent project in a relevant field. Equivalent international qualifications are accepted. Candidates should demonstrate strong problem-solving, critical analysis, cooperative and communicative skills. Fluency in spoken and written English is essential; knowledge of Swedish is not required. Experience in natural language processing, large language models, machine learning, computational linguistics, or artificial intelligence is considered a merit. Örebro University values diversity, equal opportunities, and a work environment characterized by openness, trust, and respect. The application is made online, and candidates must submit a description of research interests, CV, proof of meeting entry requirements, independent project, and other relevant documents. Documents must be in Swedish, Danish, Norwegian, or English; translations are required for other languages. The application deadline is January 9, 2026. For further information, contact Prof. Amy Loutfi ([email protected]), Dr. Andreas Persson ([email protected]), or Dr. Martin Magnusson ([email protected]). More details and application instructions are available on the university's career site.

Örebro University invites applications for a fully funded PhD position in Computer Science, focusing on the development of efficient, neuro-inspired methods for machine learning. The successful candidate will join the Machine Perception and Interaction Lab, a multidisciplinary research group at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. The project aims to address the computational challenges of modern machine learning by drawing inspiration from biological neural systems, which excel at complex tasks under strict energy constraints. By integrating principles such as structural organization, recurrence, and randomness, the research seeks to create lightweight machine learning models that maintain high performance while dramatically reducing computational requirements. The doctoral project will explore how structured prior knowledge, memory of past inputs, and randomized representations can be combined to build models suitable for resource-constrained devices. Applications include long-term forecasting of dynamical systems and processing biomedical signals from wearable devices. The research will contribute both theoretical insights and practical advances, with the goal of developing a new framework for efficient machine learning that remains competitive with state-of-the-art approaches. The PhD programme consists of coursework and an independent research project culminating in a doctoral thesis. It spans four years of full-time study (240 ECTS credits) and includes a tailored seminar series, introduction to doctoral programme rules, and opportunities for networking and career support. The position is linked to a full-time doctoral studentship, guaranteeing employment for the duration of the programme (subject to satisfactory progress), with an initial monthly salary of SEK 32,300. Entry requirements include a second-cycle qualification (Master's degree or equivalent), with at least 240 ECTS credits, including 60 at the second-cycle level. Specific requirements are a Master of Science in Engineering or a one-year Master's degree in computer science or related subjects, or equivalent international qualifications. Candidates should demonstrate strong problem-solving, critical analysis, and communication skills. Fluency in spoken and written English is essential; knowledge of Swedish is not required. Merits include coursework, thesis, or publications in digital signal processing, electrical engineering, computer vision, machine learning, artificial intelligence, cognitive science, or robotics. Örebro University values diversity, equal opportunities, and a collaborative work environment. The application is made online and must include a description of research interests, CV, proof of meeting entry requirements, independent project, and other relevant documents. Documents should be in Swedish, Danish, Norwegian, or English; translations are required for other languages. The application deadline is 16 January 2026. For further information, contact Dr. Denis Kleyko ([email protected]), Prof. Amy Loutfi ([email protected]), or Prof. Martin Magnusson ([email protected]). More details and the application portal are available on the university’s career page.

Örebro University invites applications for up to two doctoral studentships in Computer Science, with a research focus on neuro-inspired computing. These positions are affiliated with the Machine Perception and Interaction Lab, a multidisciplinary group working at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. The project centers on unconventional computing, specifically the development of novel neuro-inspired algorithms and their hardware realizations, aiming to make future intelligent systems more efficient and powerful. Current intelligent systems require massive datasets and large-scale computing infrastructure, limiting their accessibility and deployment. In contrast, biological brains achieve remarkable intelligence with minimal energy consumption. Drawing inspiration from these biological principles, the project seeks to rethink how intelligent systems represent information, perform computations, and physically implement algorithms. A key research direction involves high-dimensional neural representations, which offer robustness and powerful encodings for continual learning and reasoning. These representations are compatible with emerging hardware such as neuromorphic chips and in-memory computing devices. Doctoral students will develop frameworks connecting new learning algorithms with their physical implementation, targeting advanced computing hardware. The research will be evaluated in real-world domains like signal processing and combinatorial optimization, where efficient solutions can have significant societal and industrial impact. This is an opportunity to work at the frontier of artificial intelligence, computational neuroscience, neuro-inspired computing, and hardware technologies. The doctoral programme consists of courses and an independent research project culminating in a doctoral thesis. It comprises 240 ECTS credits over four years of full-time study. Students benefit from a tailored seminar series, introduction to programme rules, and networking and career support. The studentship guarantees full-time employment for the duration of the programme, with an initial salary of SEK 32,300 per month, subject to satisfactory progress. Entry requirements include a second-cycle qualification (Master's degree or equivalent), or completion of at least 240 ECTS credits (with at least 60 ECTS at the second-cycle level), or substantially equivalent knowledge. Specific requirements are a Master of Science in Engineering or a one-year Master's degree in computer science or related subjects, or at least 120 credits including an independent project in a relevant field. Candidates should demonstrate strong problem-solving, critical analysis, cooperative and communicative skills. Fluent English is essential; Swedish is not required. Merits include coursework, thesis, or publications in digital signal processing, electrical engineering, computer vision, machine learning, artificial intelligence, cognitive science, neuromorphic computing, or robotics. Örebro University values diversity, equal opportunities, and a work environment characterized by openness, trust, and respect. Application is online; required documents include a description of research interests, CV, proof of meeting entry requirements, independent project, and other relevant certificates. Documents must be in Swedish, Danish, Norwegian, or English; translations are required for other languages. The application deadline is 16 January 2026. For more information, contact Dr. Denis Kleyko ([email protected]), Prof. Amy Loutfi ([email protected]), or Prof. Martin Magnusson ([email protected]). For further details and to apply, visit the university’s career page or the direct application link provided.

Örebro University invites applications for a postdoctoral researcher in Embodied Learning for Underwater Robotics, based at the School of Science and Technology. The successful candidate will join the Machine Perception and Interaction Lab, a multidisciplinary group at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. The research project focuses on artificial intelligence and its relationship to robotics and embodiment, with a particular emphasis on learning in challenging underwater environments. Embodied learning in AI enables cognitive agents to acquire knowledge and skills through active interaction with their environment. This project aims to advance understanding of how embodied cognitive agents can autonomously generate, rank, and select goals, driven by intrinsic motivation and perception, to adapt and solve complex problems in dynamic underwater scenarios. The research will address real-world challenges such as uncertainty, physical constraints, scarce data, and high variability, contributing both theoretical and experimental insights. The postdoctoral appointment is intended for researchers who have recently completed their doctoral degree, providing an opportunity to consolidate and further develop research skills. The position is full-time for two years, with the possibility of extension for an additional year. Duties include conducting research on learning for embodied AI systems, particularly those deployed in underwater environments, and contributing to both theoretical and practical aspects of the project. Applicants must hold a doctoral degree or an equivalent foreign qualification at the time of appointment. Preference is given to candidates who received their doctorate within the last three years. Prior postdoctoral experience in the same subject and institution must not exceed one year. Practical experience in experimental robotics, especially underwater scenarios, is considered a merit. Strong communication skills in English, both written and spoken, are required. Assessment criteria include research and publication record, suitability for the project, ability to communicate and collaborate, and personal qualities such as teamwork and contribution to the university’s development. Örebro University values diversity, equal opportunities, and a work environment characterized by openness, trust, and respect. Salary is provided and will be determined based on the candidate’s qualifications and experience. The application process is online, and candidates must submit a covering letter, CV, account of research qualifications and experience, copies of relevant certificates and references, and up to ten scientific publications. Only documents in Swedish, English, Norwegian, or Danish are accepted. The application deadline is December 22, 2025. For further information, contact Professor Amy Loutfi ([email protected]) or Dr. Stephanie Lowry ([email protected]). More details for applicants are available on the university’s career site.

Örebro University invites applications for a doctoral student position in Computer Science, focusing on Secure Coordination and Interaction in Distributed AI. This opportunity is part of the multi-disciplinary centre for cyber resilient AI, RESIST, a national initiative funded by the Swedish Strategic Research Foundation (SSF). RESIST unites leading researchers in AI and cybersecurity to develop innovative solutions for cyber resilient AI, aiming to make Sweden a global role model in secure, trustworthy AI. The centre’s research spans four themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. This PhD position is aligned with the theme of Resilient Distributed and Agentic AI. The research will address the interaction layer in multi-agent systems, focusing on safeguarding agent interactions against malicious manipulation, information leakage, protocol deviations, and unsafe behaviors. The project aims to generate secure interactions based on both emerging and pre-defined protocols for agent-to-agent, agent-to-environment, and agent-to-human communication. Interaction protocols are formally specified sets of rules governing permissible sequences of messages, actions, roles, and state transitions, defining information exchange, commitments, and coordinated behavior under constraints. These protocols can be learned from agent interactions, inferred from demonstrations and historical traces, or encoded from domain knowledge. The expected outcome is a framework for testing agent interactions based on formal specifications, with protocol robustness enhanced through execution guards derived from protocol specifications and agent activity observations, evaluated in sandboxed and real-world environments. The research is closely integrated with other themes within RESIST, offering a stimulating and internationally connected environment. Outcomes will be validated in collaboration with industry and public-sector partners. RESIST also serves as a national hub for cyber resilient AI, promoting education, knowledge sharing, and policy development. Supervision will be provided by Professor Amy Loutfi (primary) and Professor Franziska Klügl (secondary). The doctoral programme consists of courses and an independent research project culminating in a doctoral thesis. The programme comprises 240 credits, equivalent to four years of full-time study, and is linked to a full-time doctoral studentship for the duration of the programme. The initial salary is SEK 32,300 per month. Doctoral students benefit from tailored seminar series covering programme rules, career development, support, and networking. Entry requirements include both general and specific criteria. General requirements are a second-cycle qualification, at least 240 credits (with 60 credits in the second cycle), or equivalent knowledge. Specific requirements for Computer Science are a Master of Science in Engineering or a one-year Master’s degree in a relevant subject, or at least 120 credits (with 30 credits in the second cycle and an independent project of at least 15 credits) in a main field relevant to computer science. Equivalent knowledge acquired in Sweden or abroad is also accepted. Application documents must be written in Swedish, Danish, Norwegian, or English; documents in other languages must be translated by an authorised translator. Örebro University values openness, trust, respect, and diversity, actively promoting equal opportunities and gender equality. The application is made online, and applicants must submit a CV, proof of meeting entry requirements, independent project, relevant certificates, and a one-page description of research interests. The application deadline is 1st April 2026. For further information, contact Prof. Amy Loutfi ([email protected]) or Prof. Franziska Klügl ([email protected]). More details for applicants are available on the university’s career site.