CareerPlanGet AI match score →

Doktorand i Datalogi med inriktning i heterogena adaptiva svärmsystem

Linköping, Sweden💼 Full-time🗓 2026-05-19 → 2026-06-24

Core

Research on swarm coordination, self-governance, and continuous improvement of autonomous heterogeneous swarm systems using digital twins and runtime adaptation.

Role type

PhD researcher in heterogeneous adaptive swarm systems

Builds

Reliable ad hoc-based heterogeneous swarm systems for Swedish industry and society

Domain

AI, autonomous systems, robotics, swarm intelligence

Deliverable

research

Required skills

Data science, mathematics, algorithms, programming, scientific curiosity, independent thinking

Preferred skills

Artificial intelligence, machine learning, deep learning, generative AI, undergraduate research experience

Technologies

Digital twins, simulation environments, real-world testbeds

Responsibilities

Conduct research on swarm coordination, distributed monitoring, and self-governance; collaborate with interdisciplinary research groups; teach or participate in institutional duties up to 20% of full-time

Seniority

PhD candidate, early-career researcher

Rewrite
## Responsibilities - Conduct research related to swarm coordination, self-management, and continuous improvement of autonomous swarm systems. - Focus on coordination, distributed monitoring, and self-management, along with secure runtime adaptation, verified self-improvement, and continuous learning based on digital twins for reliable ad hoc-based heterogeneous swarm systems. - Collaborate between the two research areas. - Engage in doctoral education and research projects where you are involved. - May include teaching or participation in other institutional tasks, up to 20% of full-time. ## Requirements - Enthusiastic individuals to join the interdisciplinary research group. - Willing to work as part of a team and be open to learning from colleagues and sharing knowledge and experience. - Scientific curiosity and ability to think independently are important personal qualities. - Ability to collaborate with colleagues and contribute to the research group's activities. - Excellent spoken and written communication skills in English. - Good knowledge of Swedish, both spoken and written, is preferred. - Completed a master's degree in computer science or completed courses of at least 240 higher education credits, of which at least 60 higher education credits at the advanced level in computer science, mathematics, AI, machine learning, or similar fields. - Strong knowledge in computer science, mathematics, algorithms, and programming. - Knowledge and experience in artificial intelligence and machine learning are preferred but not required. - Knowledge and experience in deep learning and generative AI are considered an advantage. - Experience with research at the undergraduate level is preferred but not required. ## Nice to Have - Experience with research at the undergraduate level. - Knowledge and experience in deep learning and generative AI. ## Benefits - Work at a leading research university in AI with strong and broad research and education in AI, both from a technical and interdisciplinary perspective. - Involved in large EU projects and national programs in AI, autonomous systems, and software. - Access to state-of-the-art facilities and collaboration with industry partners. - Opportunity to contribute to cutting-edge research in autonomous systems and swarm intelligence. - Potential for career development and academic growth.
Sourced via jobtech · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on JobTech ↗