A fixed-term research position is open for a post-doc, or for a PhD student nearing the end of his doctoral program. The goal of the research is to study hybrid collective intelligence systems for decision support in complex open-ended problems. It involves the design and implementation of a hybrid collective intelligence system to exploit the interaction between human experts and artificial agents based on knowledge graphs and ontologies for knowledge representation, integration and reasoning.

Head of a new research group and member of the Centre Board for a Senior Lecturer Autonomous Learning Systems and Reinforcement Learning (incl. responsibility in research & leadership) 50 - 100 %.

Become a postdoctoral researcher or PhD student at the Human-centric AI Centre (HAI) at the University of Technology Sydney, Australia and work in frontier research in the areas of deep machine learning, trusted AI, trustworthy human-autonomy teaming, natural BCIs, reliable GPT, extended reality and swarm intelligence. We are seeking applicants for PhD scholarships and postdoctoral research positions with prior experience and skills in some of the following areas: machine learning fundamentals and generative models, deep learning optimisation and reinforcement learning, brain-computer interfaces, drones and robotics, trusted AI, extended reality.

The Department of Engineering Mathematics at the University of Bristol is seeking an outstanding candidate to fill the role of Professor in Artificial Intelligence. You will have the opportunity to provide visionary leadership to the department and its staff, students, & partners, helping to strengthen and further develop our already impressive research and teaching programs in AI. Our Intelligent Systems Group supports the Faculty of Engineering's AI/Data Science Theme, fostering an inclusive environment for all.

Head of a new research group and member of the Centre Board for a Senior Lecturer Autonomous Learning Systems and Reinforcement Learning (incl. responsibility in research & leadership) 50 - 100 %.

A scholarship of the Italian National PhD Program in Artificial Intelligence is available at the Institute of Cognitive Science and Technologies of the National Research Council in Rome. The research topic is “Self-organisation and learning in massive multiagent systems and robot swarms” with the supervision of Stefano Nolfi.

Open professorship in Industrial AI with a focus on Neurosymbolic Learning & Reasoning. The role involves shaping research and teaching in the field of neurosymbolic approaches for industrial applications internationally and forming our environment in a lasting way.

The KINDI Center for Computing Research at the College of Engineering in Qatar University is seeking high-caliber candidates for a research faculty position at the level of assistant professor in the area of artificial intelligence (AI). The applicant should possess a Ph.D. degree in Computer Science or Computer Engineering or related fields from an internationally recognized university and should demonstrate an outstanding research record in AI and related subareas (e.g., machine/deep learning (ML/DL), computer vision, robotics, natural language processing, etc.) and fields (e.g., data science, big data analytics, etc.). Candidates with good hands-on experience are preferred. The position is available immediately.

The PhD student will be part of the ANR project 'REFINED' involving the Laboratory of Embedded Artificial Intelligence in CEA List in Paris, the Multispeech research team In LORIA, Nancy, and the Hearing Institute in Paris. The project aims at studying new Deep Learning based methods to improve hearing acuity of ANSD patients. A cohort of ANSD volunteers will be tested to identify spectro-temporal auditory and extra-auditory cues correlated with the speech perception. Additionally, the benefits of neural networks will be studied. However, current artificial intelligence methods are too complex to be applied to processors with low computing and memory capacities: compression and optimization methods are needed.

Fully-funded PhD studentships within Sussex AI, focusing on doctoral research in an interdisciplinary Centre of Excellence at the University of Sussex. The research will be the focal point for research in AI methods and applications.

We have several openings for research positions in areas related to Human-Centric AI at University of Groningen, Netherlands. The positions are funded through the Horizon Europe research projects HumAIne and AI4Work.

The SAIL fellowship program is looking for postdocs and advanced researchers who want to continue and expand their research in line with the SAIL research agenda at Universität Bielefeld or Universität Paderborn for a short fellowship (up to 3 months). The program is aimed at enriching the research carried out in SAIL, supporting research ties with relevant communities, and establishing long-term collaboration with institutes across the globe. The fellowships are intended to strengthen the innovation potential of researchers with expertise in the field of AI through further training and interdisciplinary collaboration within the research network.

The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models.

The Intelligent and Interactive Systems lab uses machine learning to enhance the flexibility, robustness, generalization and explainability of robots and vision systems, focusing on methods for learning about structure, function, and other concepts that describe the world in actionable ways. Three University-Assistant Positions involve minor teaching duties with negotiable research topics within the lab's scope. One Project Position involves the integration of robotic perception and execution mechanisms for task-oriented object manipulation in everyday environments, with a focus on affordance-driven object part segmentation and object manipulation using reinforcement learning.

The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models.

The artificial intelligence lab of the Vrije Universiteit Brussel (Brussels, Belgium) is looking for candidates for a full-time professor position.

The artificial intelligence lab of the Vrije Universiteit Brussel (Brussels, Belgium) is looking for candidates for a fully funded PhD position in agent-based modelling of the evolution of speech.

A fully funded PhD position in Machine Learning and Computer Vision is available at Uppsala University, Sweden. The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. In this project you will join us in conducting fundamental machine learning research and developing principled foundations of vision-language models, with opportunities to validate the methods on challenging real-world problems involving computer vision.

For the recently established Cluster of Excellence CoE Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria. In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications.

The University of Texas at San Antonio (UTSA), MATRIX AI Consortium, invites applications for the position of Full Professor / Associate Professor, to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic Clustered & Connected Hiring Program (CCP) focused on Artificial Intelligence, with an anticipated start date in the Fall of the 2025-26 academic year. The University of Texas System recently approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including UTSA. UT System has allocated $55 million across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The 5 positions open are in areas: Trustworthy AI/ML Algorithms (eg: neuro-inspired algorithms), Neuromorphic AI Accelerators/Chips, Human-Centered AI, AI Ethics, Quantum Encryption for AI Confidentiality. The Regents Professors will be core members of the MATRIX Consortium, which is a central hub for 87 AI scientists, facilitating transdisciplinary research, fostering high-impact collaborations, and offering thought leadership and domain expertise to address the most challenging and complex problems in AI. Areas of interest include Trustworthy AI/ML Algorithms, Neuromorphic AI Accelerators, Human-centered AI, AI Ethics, all of which advance the research thrusts in the MATRIX. MATRIX strives for scientific excellence in developing holistic solutions for human well-being. The team has a successful track record in securing large collaborative grants that generated multiple centers, such as the NSF AI Partner Institute, two NSF EFRI BRAIDs, AFOSR COE in neuro-inspired AI, along with large collaborative projects in AI for healthcare.

Exciting opportunity for early-stage researchers to join the TUAI (Towards an Understanding of Artificial Intelligence) project, a Marie Skłodowska-Curie Doctoral Network funded by the European Union’s Horizon Europe program. We are currently offering PhD positions aimed at fostering transparent, open, and explainable AI through innovative research. The TUAI project aims to bridge technical advancements in AI with societal needs, promoting ethical, responsible, and inclusive AI systems.

We are seeking highly motivated and talented PostDoc and PhD-candidates to join our dynamic research team for combining symbolic and sub-symbolic AI. It offers a unique opportunity to create a new level of artificial intelligence. The successful candidates will conduct research in collaboration with all partner institutes JKU, AAU Klagenfurt, ISTA, TU Graz, TU Vienna, and WU Vienna.