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Two new Assistant Professor positions available at Lancaster University Leipzig, one with a focus on data science, one focussed on cyber security. Lancaster University Leipzig is a young branch campus of Lancaster University, based in Leipzig Germany. The department is focussed on intelligent systems, including topics such as emergent behaviour, unconventional computing, quantum software engineering, and robotics. These are grade 8 openings, so we would expect to see a research plan and teaching experience from interested applicants (grade 7 is the typical entry-level asst. prof. level).
The new lab at UCSD, directed by Uri, is opening positions for machine learning/computer vision scientists. The lab is part of a new “Technology Sandbox” at UCSD, which includes a ThermoFisher cryoEM and mass spec center, a Nikon Imaging Center, and computational resources.
The job is a W3 Full Professorship for Artificial Intelligence in interactive Systems at Technische Universität Braunschweig. The role involves expanding the research area of data-driven methods for interactive and intelligent systems at the TU Braunschweig and strengthening the focal points 'Data Science' and 'Reliability' of the Department of Computer Science. The position holder is expected to have a strong background in Computer Science with a focus on Artificial Intelligence/Machine Learning, specifically in the areas of Dependable AI and Explainable AI. The role also involves teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning to complement the Bachelor's and Master's degree programs of the Department of Computer Science.
This is a university doctoral position that involves minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations.
The position holder has a strong background in Computer Science with a focus on Artificial Intelligence/Machine Learning, specifically in the areas of Dependable AI and Explainable AI. Applicants should possess a method-oriented research focus on machine learning and have made internationally recognized contributions to at least one of the current research areas such as neural networks, generative and adversarial models, online and transfer learning, federated learning, (deep) reinforcement learning, probabilistic inference, graphical models, and/or MDP/POMDP. A researcher is sought who is able to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems, for example in autonomous robots, intelligent virtual agents, or intelligent networked production systems. Suitable applicants are expected to show an active interest in the concrete implementation of cognitive abilities in technical systems, ensuring compatibility with partners in engineering and natural sciences. With his/her research performance, the position holder will enhance the international visibility of TU Braunschweig in the field of Artificial Intelligence. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. In particular, the topic of Machine Learning/Artificial Intelligence is to be anchored in undergraduate teaching with a new compulsory Bachelor course. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig.
The Technische Universität Braunschweig is offering a W3 Full Professorship for Artificial Intelligence in interactive Systems. The position holder is expected to have a strong background in Computer Science with a focus on Artificial Intelligence/Machine Learning, specifically in the areas of Dependable AI and Explainable AI. The researcher is expected to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig.
Fordham University (New York City) has developed a unique Ph.D. program in Computer Science, tuned to the latest demands and opportunities of the field. Upon completion of the Ph.D. in Computer Science program, students will be able to demonstrate the fundamental, analytical, and computational knowledge and methodology needed to conduct original research and practical experiments in the foundations and theory of computer science, in software and systems, and in informatics and data analytics. They will also be able to apply computing and informatics methods and techniques to understand, analyze, and solve a variety of significant, real-world problems and issues in the cyber, physical, and social domains. Furthermore, they will be able to conduct original, high-quality, ethically informed, scientific research and publish in respected, peer-reviewed, journals and conferences. Lastly, they will be able to effectively instruct others in a variety of topics in Computer Science at the university level, addressing ethics, justice, diversity, and sustainability. This training and education means that graduates can pursue careers at the university level, but also research and leadership positions in industry and government and within the leading technology companies. A hallmark of the program is early involvement in research, within the first two years of the program. Students will have the opportunity to carry out research in machine learning and AI/robotics, big data analytics and informatics, data and information fusion, information and cyber security, and software engineering and systems.
The Faculty of Computer Science of HSE University invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to artificial intelligence, machine learning, computer vision, programming language theory, software engineering, system programming, algorithms, computation complexity, distributed and parallel computation, bioinformatics, human-computer interaction, and robotics. The successful candidate is expected to conduct high-quality research publishable in reputable peer-reviewed journals with research support provided by the University.
The post holder will support the delivery of key areas of teaching and research in the discipline of Computing. They will contribute to the delivery of undergraduate and postgraduate degree programmes offered by the School of Computing, Engineering and Intelligent Systems, and undertake research in areas aligned with the Intelligent Systems Research Centre (ISRC).
The successful candidate will work in close collaboration with academic and industrial partners, delving deep into the verification of Large Language Models (LLMs) based software programs. The focus of the position includes designing and implementing innovative verification methods to ensure the reliability and accuracy of LLM-based software programs, and actively engaging in the design and development of a system that generates high-quality data utilising LLMs. The project involves establishing methods to validate the efficacy of the prompting processes in getting accurate responses from LLMs and developing strategies to verify the overall reliability of the LLM-based software program. The postdoctoral researcher will further refine this approach, aiding in the development of a system optimised for high-quality data generation using LLMs. The successful candidate is expected to spend one or more internships in industry and liaise with industrial partners.
The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a full-time, open-rank, tenure-line position beginning August 1, 2024. Applicants should have a PhD or an anticipated PhD completion by August 2024 in Computer Science or related fields. Depending on experience and qualification, the appointee to this position may be recommended for tenure at the time of hiring. Candidates can apply at the assistant, associate, or full professor level and we welcome applications from both academic and nonacademic organizations. We are looking for candidates who are excited at the prospect of joining a growing department where they will be able to make their mark. Preference will be given to candidates with a record of high-quality scholarship. For candidates applying at the associate or full professor level, a record of external funding is also expected. The committee will consider candidates engaged in high-quality research in any area of Computer Science related to Artificial Intelligence (E.g., Natural Language Processing, Machine Learning, Network Analysis, Information Visualization), Theoretical Computer Science (Computational Theory, Graph Theory, Algorithms), Cybersecurity, and other traditional areas of Computer Science (E.g., Software Engineering, Database Systems, Graphics, etc.). The University has areas of strategic focus for research in Data Science and Analytics, Health, Security, Social Equity, and Sustainability. Applicants from historically underrepresented minority and identity groups are strongly encouraged to apply. In addition to scholarship and teaching, responsibilities will include participation in department, school, and university service activities. Attention to Diversity, Equity and Inclusion (DEI) in all activities within the academic environment are expected.
The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a full-time, open-rank, tenure-line position beginning August 1, 2024. Applicants should have a PhD or an anticipated PhD completion by August 2024 in Computer Science or related fields. Depending on experience and qualification, the appointee to this position may be recommended for tenure at the time of hiring. Candidates can apply at the assistant, associate, or full professor level and we welcome applications from both academic and nonacademic organizations. We are looking for candidates who are excited at the prospect of joining a growing department where they will be able to make their mark. Preference will be given to candidates with a record of high-quality scholarship. For candidates applying at the associate or full professor level, a record of external funding is also expected. The committee will consider candidates engaged in high-quality research in any area of Computer Science related to Artificial Intelligence (E.g., Natural Language Processing, Machine Learning, Network Analysis, Information Visualization), Theoretical Computer Science (Computational Theory, Graph Theory, Algorithms), Cybersecurity, and other traditional areas of Computer Science (E.g., Software Engineering, Database Systems, Graphics, etc.). The University has areas of strategic focus for research in Data Science and Analytics, Health, Security, Social Equity, and Sustainability. Applicants from historically underrepresented minority and identity groups are strongly encouraged to apply. In addition to scholarship and teaching, responsibilities will include participation in department, school, and university service activities. Attention to Diversity, Equity and Inclusion (DEI) in all activities within the academic environment are expected.
The position integrates into an attractive environment of existing activities in artificial intelligence such as machine learning for robotics and computer vision, natural language processing, recommender systems, schedulers, virtual and augmented reality, and digital forensics. The candidate should engage in research and teaching in the general area of artificial intelligence. Examples of possible foci include machine learning for pattern recognition, prediction and decision making, data-driven, adaptive, learning and self-optimizing systems, explainable and transparent AI, representation learning; generative models, neuro-symbolic AI, causality, distributed/decentralized learning, environmentally-friendly, sustainable, data-efficient, privacy-preserving AI, neuromorphic computing and hardware aspects, knowledge representations, reasoning, ontologies. Cooperations with research groups at the Department of Computer Science, the Research Areas and in particular the Digital Science Center of the University as well as with business, industry and international research institutions are expected. The candidate should reinforce or complement existing strengths of the Department of Computer Science.
The Faculty of Computer Science at UNamur has an open academic position in distributed systems. The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling...).
The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing are very welcome to apply!
The position is full-time, funded for 3 (+1) years (PhD) or 2+1 years (postdoc) and will be filled as soon as possible, with a starting date in early 2024. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled.
PhD project titled 'Intelligent Adaptation of Serious Games for Enhanced Teaching: Leveraging Artificial Intelligence'.
The School of Computer Science in the Gallogly College of Engineering at the University of Oklahoma seeks applications for a tenure-track assistant professor position in the area of hybrid machine-learning/first-principles modeling with a targeted start date of Fall 2024. Candidates are expected to leverage existing first-principles modeling strengths across GCoE as well as existing strengths in machine learning and data mining in CS. The role involves supporting OU's strategic research verticals and engaging in collaborative research. The position also includes teaching responsibilities, advising M.S. and Ph.D. students, and contributing to the advancement of the community.
The University of Plymouth has several available positions in Computer Science.
PhD Scholarship: Explainable AI for Mathematical Modelling (RS677)
We offer three full-time and permanent positions as Assistant Professor in Computer Science. The positions include teaching activities, research and co-operation with industry. We are looking for new colleagues who are interested in contributing to our academic environment and who are committed to student learning, actively contribute to your own research and are interested in collaborating with industry. The specific roles are: Reinforcement Learning and Deep Learning: Expertise in machine learning with a focus on reinforcement learning and deep neural networks. Strong research background in developing and applying advanced neural network models to complex real-world problems. Proven experience in advancing AI methodologies and contributing to the academic community through research and publications. Software Engineering for Machine Learning (SE4ML): Expertise in the intersection of software engineering principles and machine learning system design. Research background in building scalable, maintainable, and efficient machine learning infrastructure. Experience with MLOps, version control for models, deployment strategies, and ensuring the quality of machine learning codebases. Trustworthy AI: Expertise in AI interpretability, explainability, and the development of reliable and trustworthy AI systems. Research background in understanding how machine learning models make decisions and ensuring robustness in AI algorithms. Experience in designing solutions that address ethical and legal implications of AI deployment in real-world applications. Teaching is primarily campus-based, performed in both English and Swedish, and distributed over the academic year. Particularly relevant to these positions is teaching in the first and second cycle of education. Academic staff are also expected to participate in Departmental and University activities and administration and collaborate with other academics in the Department's teaching and research activities. We offer an equal and inclusive workplace, and we strongly encourage applications from persons with diverse backgrounds (gender, ethnic background, and nationality). As an employee, you are entitled to favourable benefits regulated in Swedish law and agreements, as well as the benefits offered by Jönköping University. Collective agreements and individual salary settings are applicable. Employment starts at the earliest convenience.
The University of Rochester’s Department of Computer Science seeks to hire an outstanding early-career candidate in the area of Artificial Intelligence. Specifically, we are looking to hire a tenure-track Assistant Professor in any of the following areas: Learning Theory, especially related to deep learning, Machine Learning Systems (ML Ops, memory efficient training techniques, distributed model training methods with GPUs/accelerators, etc.), or Deep reinforcement learning. We are especially interested in applications of these areas to large language models. Exceptional candidates at the associate or full professor level, or in other AI research areas such as foundational research in natural language processing (NLP), are also encouraged to apply. Candidates must have (or be about to receive) a doctorate in computer science or a related discipline.
The Department of Computing and Information Sciences invites applications for a tenure-track assistant professor in Computer Science with a start date of August 16, 2025. This colleague will be responsible for teaching and conducting scholarly work in computer science. A faculty member hired into this position will be expected to teach courses in computer science, advise and mentor students in various computing programs, take part in research / scholarly activities, help expand undergraduate research, as well as participate in service activities for the department, college, university, and research community. The standard teaching load is 9 credit hours per semester.
The Faculty of Computer Science at HSE University Moscow is looking for tenure-track assistant professor positions in various computer science areas. Successful candidates will conduct impactful research with institutional support. Positions typically begin in September 2025, with an initial three-year term.