Kristiania University of Applied Sciences invites applications for a fully funded PhD fellowship in Applied Information Technology, focusing on the role of emerging AI and XR (extended reality) technologies as mediators and co-creators of human experiences. The position is based at the School of Arts, Design and Media in Oslo, Norway, and is part of the MishMash Centre for AI and Creativity, a national research centre funded by the Research Council of Norway (2025–2030). The successful candidate will join a vibrant, interdisciplinary research environment, collaborating with experts from both the School of Arts, Design and Media and the School of Economics, Innovation, and Technology. The PhD project will investigate how artificial intelligence and XR systems can be designed and applied to advance creative solutions for cultural production. Research topics include the mediation of human experience by generative and immersive technologies, the influence of AI on creative agency, and the shaping of cultural memory. Central research questions address how AI and XR can enhance creative collaboration, reinterpret cultural heritage, and promote sustainable, inclusive, and ethically responsible innovation in artistic and institutional contexts. Potential research activities may involve developing or testing creative AI-based XR prototypes in collaboration with artistic, cultural, or archival institutions, and applying methods from human–computer interaction, computational creativity, or digital curation. The project will emphasize ethical, ecological, and accessibility concerns, ensuring that creative AI and XR systems promote cultural diversity, transparency, and respect for human and artistic integrity. The PhD candidate will have the opportunity to design and evaluate creative AI-based XR systems, explore generative and immersive technologies for public engagement with cultural heritage, analyze human–AI interaction patterns, and implement ethical, sustainable, and inclusive design approaches. Dissemination of findings through exhibitions, conferences, and publications, as well as collaboration with research and cultural-sector partners, is expected. The candidate will also participate in MishMash Centre activities and collaborate with national and international partners. Eligibility: Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant subject area with a grade B or better, and a relevant 180 ECTS bachelor’s degree. Required skills include analytical and technical competence in applied information technology, especially human–computer interaction and frontend AI development, as well as experience with programming and digital tools (e.g., Python, Unity, Unreal, TouchDesigner). Demonstrated creative or artistic competence and understanding of user-centred or participatory design methods are essential. Proficiency in English is required. Candidates should be motivated for interdisciplinary research and collaboration across technology, arts, and design. Funding and Benefits: The fellowship is fully funded, offering a competitive salary (NOK 550,800 per year), NOK 50,000 per year for travel and running costs, free health and travel insurance, pension plan, and equipment. The position is for three years, with the earliest start date on 1 September 2026. The university offers strong labour protections, including paid parental and sick leave, and 25 paid vacation days. Application Process: Applications must be submitted via the Kristiania University of Applied Sciences application portal. Required documents include a motivation letter, diplomas and transcripts, CV, at least two references, master’s thesis, and a project proposal (up to 4 pages, in English). Admission to the PhD programme is required within three months of the start date. The application deadline is 2 February 2026. For further information, contact Professors Synne Tollerud Bull or Asle Fagerstrøm. Kristiania University of Applied Sciences encourages applications from candidates of diverse backgrounds, especially women and persons with minority backgrounds. The working location is Oslo, with access to numerous amenities and a dynamic urban environment.

PhD Fellowship in Applied Information Technology: AI Creative Solutions in Health is offered by Kristiania University of Applied Sciences, Norway’s largest independent comprehensive university college. The position is based at the School of Arts, Design and Media in Oslo, a leading environment for creative and art-related disciplines, and is part of the MishMash Centre for AI and Creativity, a national research centre funded by the Research Council of Norway (2025–2030). This fully funded PhD fellowship focuses on advancing research at the intersection of creative artificial intelligence, artistic innovation, and health technologies for human well-being. The successful candidate will join a cross-disciplinary team, collaborating with experts from both the School of Arts, Design and Media and the School of Economics, Innovation, and Technology, as well as national and international partners in the MishMash network. The PhD project will investigate how AI and creative technologies can be combined to design and build support solutions in human health, empathy, and well-being. Potential research areas include interactive AI systems, evolutionary approaches, creative media tools, immersive environments, and adaptive sound or image systems. Central research questions address how AI can enhance emotional connection, facilitate inclusive participation, and support care-oriented human–machine interaction while avoiding bias and automation of empathy. The project aims to provide new insights relevant to therapeutic, educational, or assistive contexts, and may involve developing or testing creative AI prototypes in collaboration with health institutions, using methods from human–computer interaction, affective computing, or creative technology design. Ethical and accessibility considerations are central, ensuring that AI systems promote trust, inclusion, and respect for human agency. The candidate will have the opportunity to design and evaluate creative AI-based interactive systems for well-being, accessibility, or emotional communication; develop generative AI-based solutions for creative health interventions; analyze human–AI interaction patterns; and implement ethical and inclusive design methods for responsible AI in health and creative practices. Dissemination of findings through interdisciplinary conferences and journals, and collaboration with research and health-sector partners, are expected. Requirements: Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant subject area with a grade B or better, and a relevant 180 ECTS bachelor’s degree. Required skills include analytical and technical expertise in applied information technology, particularly in AI, machine learning, or human–computer interaction; experience with programming and digital tools (e.g., Python, Unity, Unreal, Max/MSP); and creative or artistic competence (digital art, game design, creative coding, or interactive media production). Understanding of user-centred or participatory design methods, proficiency in English, and motivation for interdisciplinary collaboration are essential. Familiarity with ethical, cultural, or societal perspectives on AI, and knowledge of evaluation methods for user experience, are desirable. Personal qualities such as curiosity, independence, communication skills, and goal orientation are valued. Funding and Benefits: The fellowship is fully funded, offering a high salary (NOK 550,800 per year), NOK 50,000 per year for travel and running costs, free health and travel insurance, pension plan, equipment, and strong labour protections including paid parental and sick leave and 25 paid vacation days. Application Process: Applications must be submitted via the Kristiania University of Applied Sciences application portal. Required documents include a motivation letter, diplomas and transcripts, CV, at least two references, master’s thesis, and a project proposal (up to 4 pages). Admission to the PhD programme is required within three months of the start date. The application deadline is 2 February 2026. For more information, visit Kristiania University of Applied Sciences or PhD in Applied Information Technology . For project-related questions, contact Professor Synne Tollerud Bull ([email protected]); for programme questions, contact Professor Asle Fagerstrøm ([email protected]). The university encourages applications from diverse backgrounds, especially women and persons with minority backgrounds. The position is subject to background checks and compliance with Norwegian export control regulations.

PhD Fellowship in Applied Information Technology: Precision Medicine for Pain Management in Dysmenorrhea Kristiania University of Applied Sciences, Norway’s largest independent comprehensive university college, invites applications for a fully funded PhD fellowship in Applied Information Technology. The position is based at the School of Health Sciences in Oslo, a vibrant academic environment with a strong focus on interdisciplinary research and societal impact. Project Overview: The PhD project aims to advance precision medicine for pain management in dysmenorrhea, a condition affecting many women worldwide. Despite its prevalence, the mechanisms and effective treatments for dysmenorrhea remain poorly understood. This research will bridge bioinformatics and health sciences to improve patient care by developing more precise pain treatment strategies. Research Activities: The successful candidate will collect clinical data and blood samples (PBMCs) from women experiencing varying degrees of menstrual pain, perform RNA profiling, analyze differentially expressed genes (DEGs), and conduct pathway enrichment analyses using tools such as clusterProfiler, Gene Ontology (GO), and KEGG. The project will interpret RNA profile differences to elucidate neuro-immune pain mechanisms, inflammatory processes, and clinical trajectories. The candidate will also be responsible for participant recruitment, data processing, statistical analysis, and dissemination of results in academic forums. Eligibility: Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant field (e.g., Human Data Science, Biosciences, Bioinformatics, Health Sciences) with a grade B or better, and a thesis of at least 30 ECTS. Experience in data sampling, analysis, and wet-lab work is required, along with proficiency in English. Additional assets include experience in clinical study design, Norwegian language skills, and background in pain research or RNA sequencing. Candidates should demonstrate curiosity, motivation for independent research, strong communication skills, and the ability to work with vulnerable women in a Norwegian context. Funding and Benefits: The fellowship offers a competitive annual salary (NOK 550,800), NOK 50,000 per year for travel and research costs, free health and travel insurance, pension plan, and equipment. Employees benefit from strong Norwegian labour laws, including paid parental and sick leave and 25 paid vacation days. Application Process: Applications must be submitted via the Kristiania University of Applied Sciences portal and include a motivation letter, diplomas and transcripts, CV, two references, master’s thesis, and a project proposal (up to 4 pages). Admission to the PhD programme is required within three months of the start date. The application deadline is 2 March 2026. Contact: For project-related questions, contact Professor Johannes Gjerstad ([email protected]). For PhD programme inquiries, contact Professor Asle Fagerstrøm ([email protected]). Kristiania University of Applied Sciences encourages applications from diverse backgrounds, especially women and minorities. For more information, visit www.kristiania.no and PhD in Applied Information Technology .

PhD Fellowship in Applied Information Technology: AI-enabled Automated Software Testing Kristiania University of Applied Sciences, Norway’s largest independent comprehensive university college, invites applications for a fully funded PhD fellowship in Applied Information Technology. The position is based at the School of Economics, Innovation, and Technology in Oslo, a vibrant academic environment with strong research groups and international collaborations. The university is committed to problem-driven, applied knowledge development and works closely with industry and society. Project Focus: The PhD project will investigate the integration of AI-enabled automated software testing tools within industrial software development and maintenance processes. The research will address both technical and organizational aspects, including the development, deployment, and performance of AI-enabled testing tools, their impact on software quality, and their fit within existing software development workflows. Key challenges include ensuring the quality and accuracy of AI-generated results, adapting software processes to leverage these tools, and measuring their effectiveness in real-world settings. Responsibilities: The successful candidate will design and conduct empirical studies in both academic and industrial contexts, develop and implement tools for interpreting and measuring the quality of AI-enabled software testing, and disseminate findings at top-tier software engineering conferences and journals. Collaboration with industry and academic partners is expected. Eligibility: Applicants must have a Master’s degree (120 ECTS or equivalent) in a relevant field with a grade B or better, and a relevant Bachelor’s degree (180 ECTS). Required skills include a strong background in software development and programming, empirical research capabilities, analytical thinking, and proficiency in English. Preferred qualifications include experience with software testing, automation, technical debt evaluation, software maintenance, and AI applications in software engineering. Personal qualities such as curiosity, motivation for independent research, and strong communication skills are highly valued. Funding and Benefits: The fellowship is fully funded, offering a competitive annual salary of NOK 550,800, NOK 50,000 per year for travel and running costs, free health and travel insurance, pension plan, and equipment (laptop, mobile). Employees benefit from strong labor protections, including paid parental and sick leave and 25 paid vacation days. Application Process: Applications must be submitted via the Kristiania University of Applied Sciences portal. Required documents include a motivation letter, diplomas and transcripts, CV, at least two references, master thesis, and a project proposal (up to 4 pages, max 2,000 words). Admission to the PhD programme is required within three months of the start date. The application deadline is 2 March 2026, and the earliest start date is 1 September 2026. Contact: For position-related questions, contact Professor Asle Fagerstrøm ([email protected]). For project-specific inquiries, contact Associate Professor Bogdan Marculescu ([email protected]). Kristiania University of Applied Sciences encourages applications from candidates of diverse backgrounds, especially women and minorities. For more information, visit www.kristiania.no and PhD in Communication and Leadership .

Kristiania University of Applied Sciences, Norway's largest independent comprehensive university college, is offering a fully funded PhD fellowship in Applied Information Technology with a focus on AI-enabled Automated Software Testing. The university, located in Oslo, is renowned for its strong research groups, high international standards, and commitment to problem-driven, applied knowledge development. The School of Economics, Innovation, and Technology provides a vibrant academic environment with research and study programmes emphasizing economics, innovation, digitalization, and information technology. This PhD position is designed for candidates interested in investigating the integration of AI-enabled automated software tools within industrial software development and maintenance processes. The research will address both technical and process-oriented aspects, including the development, deployment, and performance of AI-enabled automated testing tools, their impact on software quality, and the adaptation of software processes to leverage these tools. Key challenges include ensuring the quality and accuracy of AI-enabled tools, their fit within existing workflows, and the measurement of their effectiveness in real-world settings. The successful candidate will design and conduct empirical studies in both academic and industrial contexts, develop tools for interpreting and displaying results from AI-enabled software testing, and measure their suitability for integration into software development processes. Dissemination of research findings in top-tier Software Engineering conferences and journals, as well as collaboration with industry and academic partners, is expected. Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant field with a grade B or better, and a master’s thesis of at least 30 ECTS. A relevant 180 ECTS bachelor’s degree is also required. Strong programming and software development skills, empirical research capabilities, analytical thinking, and proficiency in English are essential. Preferred qualifications include experience in software testing, automation, software processes, technical debt evaluation, software maintenance, and familiarity with AI applications in software development. Personal qualities such as curiosity, motivation for independent interdisciplinary research, and strong communication and cooperation skills are highly valued. The fellowship offers a competitive salary (NOK 550,800 per year), NOK 50,000 annually for travel and running costs, free health and travel insurance, pension plan, and equipment such as a high-end laptop and mobile subscription. Norwegian labour laws ensure generous paid parental and sick leave, and 25 paid vacation days. The PhD period is three years, with the earliest start date of 01.09.2026. The working location is Oslo, providing access to urban amenities and recreational spaces. Applications must be submitted via the official portal and include a motivation letter, diplomas and transcripts (in Scandinavian or English), CV, at least two references, master thesis, and a project proposal (up to 4 pages, max. 2,000 words, in English). Admission to the PhD programme is required within three months of the start date. Kristiania University of Applied Sciences encourages applications from diverse backgrounds, especially women and persons with minority backgrounds. For further details, visit the university website or contact Professor Asle Fagerstrøm or Associate Professor Bogdan Marculescu. Application deadline: 2 March 2026.

Kristiania University of Applied Sciences in Oslo, Norway, is offering a fully funded PhD fellowship in Applied Information Technology, focusing on precision medicine for pain management in dysmenorrhea. The university is Norway's largest independent comprehensive university college, with a strong commitment to applied knowledge development and societal impact. The School of Health Sciences, which hosts this position, provides research-based education across health sciences, psychology, pedagogy, and law, emphasizing health promotion, prevention, rehabilitation, and treatment. The PhD project aims to improve patient care by advancing precision pain treatment for women suffering from dysmenorrhea, a condition that significantly affects quality of life. The research will involve collecting clinical data and blood samples (Peripheral Blood Mononuclear Cells) from women experiencing varying degrees of menstrual pain. Key project components include RNA profiling, analysis of Differentially Expressed Genes (DEGs), pathway enrichment analyses using tools like clusterProfiler, Gene Ontology (GO), and KEGG, and interpretation of RNA profile differences to explain neuro-immune pain mechanisms and inflammatory processes. The successful candidate will join a dynamic research team and participate in all aspects of the project, including participant recruitment, clinical data collection, PBMC isolation, RNA extraction, sequencing, data cleaning and mapping, statistical analysis of gene expression, functional analysis, and dissemination of results. The position is ideal for candidates with cross-disciplinary interests bridging bioinformatics, health sciences, and technology. Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant field with a grade B or better, and a master’s thesis of at least 30 ECTS. A relevant bachelor's degree (180 ECTS) in Human Data Science, Biosciences, Bioinformatics, Health Sciences, or an equivalent area is required. Experience with data sampling, analysis, and wet-lab work is essential, along with proficiency in English. Additional desirable qualifications include experience in clinical study design, Norwegian language skills, and expertise in pain research and RNA sequencing. Personal qualities such as curiosity, motivation for independent research, strong communication and cooperation skills, and the ability to work with vulnerable women in a Norwegian context are highly valued. The fellowship offers a competitive salary (NOK 550,800 per year), NOK 50,000 annually for travel and running costs, free health and travel insurance, pension plan, equipment, and strong labour protections including paid parental and sick leave and 25 paid vacation days. The PhD period is three years, with the earliest start date of 01.09.2026. The application deadline is 02.03.2026. To apply, candidates must submit their application via the university's portal, including a motivation letter, diplomas and transcripts (in Scandinavian or English), CV, at least two references, master’s thesis, and a project proposal (up to 4 pages, max. 2,000 words, in English). Admission to the PhD programme is required within three months of the start date. For further details, see the provided regulations and university links. Kristiania University of Applied Sciences encourages applications from diverse backgrounds, especially women and minorities. For project-related questions, contact Professor Johannes Gjerstad ([email protected]). For programme-related questions, contact Professor Asle Fagerstrøm ([email protected]).

Kristiania University of Applied Sciences, Norway's largest independent comprehensive university college, is offering a fully funded PhD fellowship in Applied Information Technology. The position is based at the School of Economics, Innovation, and Technology in Oslo, which hosts internationally recognized research groups and labs. The university is committed to problem-driven and applied knowledge development, with a strong emphasis on digitalization, information technology, and the interaction between technology and human beings. This PhD project focuses on establishing software engineering foundations for LLM-enabled agentic systems, covering architecture, assurance, and operations. The candidate will define architecture and design patterns (such as planner–executor–critic, retrieval-first/tool-first, escalation trees), introduce specification and guardrailing mechanisms (schema/contract DSLs, policy-aware tool use, pre/postconditions), develop testing methods for non-deterministic multi-step workflows (unit tests, scenario tests, metamorphic and differential oracles, agent fuzzing), and engineer configuration policies for accuracy–latency–energy trade-offs. Quantitative evaluation will be performed on canonical software engineering tasks, including code generation/repair, log analysis, and vulnerability triage. The expected outcomes include a validated pattern catalog, a spec/guard toolkit, an agent test harness with coverage metrics, an open telemetry schema and replay tool, and a public benchmark with multi-objective metrics (accuracy, robustness, safety, latency, energy/CO₂). These will be released as open-source artifacts and demonstrated in at least one industry-grade case study. Applicants must hold a Master’s degree (120 ECTS or equivalent) in a relevant subject area with a grade B or better, and a relevant 180 ECTS bachelor’s degree. Required skills include solid software engineering (clean architecture, testing, version control, CI/CD), strong programming in Python (TypeScript/Java helpful), practical experience with modern ML/LLM stacks (PyTorch/Transformers and agent frameworks), basic statistics/experimental design, analytical thinking, and proficiency in English. Ideal candidates will also have competence in empirical evaluation, reproducible research, familiarity with MLOps, cloud/GPUs, exposure to security/compliance, energy/latency measurement, or IoT/digital twins. Personal qualities such as curiosity, motivation for independent interdisciplinary research, communication and cooperation skills, and project completion orientation are valued. The fellowship offers a high salary (NOK 550,800 per year), NOK 50,000 per year for travel and running costs, free health and travel insurance, pension plan, equipment, and strong labour laws (fully paid parental and sick leave, 25 paid vacation days). The PhD period is 3 years, with the earliest start date of 01.09.2026. The application deadline is 13.04.2026. Kristiania University encourages applications from diverse backgrounds, especially women and persons with minority backgrounds. To apply, candidates must submit a motivation letter, diplomas and transcripts, CV, at least two references, master’s thesis, and a project proposal (up to 4 pages, max. 2,000 words) outlining their intended PhD research. Admission to the PhD programme is required within three months of the start date. Only applications received through the university’s application portal will be considered. All educational credentials and certificates will be verified, and background checks are part of the recruitment process. For further information, contact Ahmet Soylu (Dekan, School of Doctoral Studies) or Asle Fagerstrøm (Head of program/Professor). For more details, visit Kristiania University and PhD in Applied Information Technology . Application portal: Apply here .

PhD Fellowship in Applied IT: LLM-Enabled Agentic Systems is now open at Kristiania University of Applied Sciences, Oslo, Norway. This opportunity is based at the School of Economics, Innovation, and Technology, focusing on the software engineering foundations for LLM-enabled agentic systems. The research will cover architecture, assurance, and operations of AI agents, including design patterns, guardrails, testing methods, and configuration policies. The position is ideal for candidates interested in the intersection of artificial intelligence, large language models, and applied IT. Research Areas: The fellowship centers on developing and assuring AI agents powered by large language models (LLMs). Key topics include software engineering for AI, agentic system design, machine learning frameworks (such as PyTorch, Transformers, LangChain, AutoGen), and empirical evaluation of agentic architectures. The work will contribute to advancing the reliability and effectiveness of LLM-enabled systems in real-world applications. Eligibility: Applicants must have a master’s degree in IT, computer science, or software engineering. Required skills include strong software engineering abilities (clean architecture, testing, version control), proficiency in Python, and experience with ML/LLM frameworks. Additional experience with TypeScript, Java, MLOps, cloud computing, security, compliance, and empirical evaluation is desirable. Candidates should demonstrate English proficiency and strong interdisciplinary collaboration skills. Independence, systematic work habits, and curiosity are valued traits. Funding and Benefits: The fellowship is fully funded for three years, offering a competitive salary of NOK 550,800 per year, plus an equipment and travel allowance of NOK 50,000 per year. Additional benefits include health insurance, pension, and robust labor protections. The earliest start date is September 1, 2026. Application Process: Interested candidates should prepare a CV, motivation letter, master’s transcript and thesis, a project proposal (up to 4 pages or 2000 words), and at least two references. Applications must be submitted via the Kristiania University of Applied Sciences job portal by April 13, 2026. For further information, contact Ahmet Soylu (Dean, School of Doctoral Studies) or Asle Fagerstrøm (Head of Program/Professor) via the provided emails. About the Institution: Kristiania University of Applied Sciences is committed to becoming Norway’s first work-life university, offering a dynamic research environment in Oslo. The university supports interdisciplinary research and provides excellent resources for doctoral students in applied IT and related fields. Keywords: LLM-enabled agentic systems, software engineering, AI agents, applied IT, machine learning, large language models, Python programming, MLOps, cloud computing, empirical evaluation.