Jobs Posted on the Whova Community Board of IJCAI 2024
If you know anyone in the job market, feel free to share with them
Multiple PhD Positions
Singapore Management University We have multiple openings for motivated PhD students who wish to push the boundaries of theory and automation of safe and trustworthy software and AI, under the supervision of Ass... istant Prof. Djordje Zikelic (https://djordjezikelic.github.io/). You will conduct both theoretical and empirical research on designing novel algorithms for verification, synthesis and certified learning of software and of AI systems. You will also contribute to publishing and presenting research findings at premier conferences in formal methods and AI/ML (our group has an excellent track record in both fields). Possible PhD topics include:
- Formal methods for safe AI and planning under uncertainty - Learning-enabled control and safe reinforcement learning - Program verification of probabilistic and/or numerical programs
Singapore is a vibrant and cosmopolitan place with a thriving academic landscape. It is also a perfect place for fellow food lovers. SMU is a premier and fast growing university that provides an excellent research environment with strong groups in formal methods, AI and software engineering. If interested, feel free to drop me an email during or after the conference.
Link:https://djordjezikelic.github.io/openings/See More >>
PostDoc or Senior Researcher Positions in Machine Learning at Great Bay University
Great Bay University Current topics of interest in my group include diffusion generative models, Schroedinger bridge based methods for generative learning, neural differential equations, optimal trans... port for machine learning, causal inference for event sequences, spatial and temporal point processes, Bayesian modelling and Bayesian deep learning.
Application deadline: 31 August 2024
Start date: 01 October 2024 or later
Requirements
We are looking for candidates who have finished, or are about to complete, an excellent PhD degree in computer science, mathematics, statistics, or a related discipline. You should have demonstrated your research expertise through high-quality publications.
You must be proficient in English (spoken and written).
About the group
Dr. Sikun Yang is an Assistant Professor at Computer Science, Great Bay University. His research develops probabilistic machine learning models and algorithms to solve problems arising in computational social science and natural sciences.
The research group led by Dr. Sikun Yang currently has one doctor students, three master students, and several visiting students and research assistants from top universities in China.
How to apply
Please submit your application by email to sikunyang@gbu.edu.cn and include a single PDF file with the following information:
a statement of research interests that motivates why you are applying for this position and outlines your research agenda; a full CV including your list of publications; scans of transcripts and academic degree certificates; the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you.
Link:https://groups.google.com/g/ml-news/c/oWfYFp4G-k4See More >>
All Levels of faculties/staffs
School of Artificial Intelligence, Nanjing University School of Artificial Intelligence,Nanjing University recruit all levels of faculties/ staffs in all areas of Artificial Intelligence:
Full/ Associate/ Assistant Professors,... Research Fellows, Postdocs
We are available to talk with you here at IJCAI 2024
PhD scholarship on theory of co-evolutionary algorithms
University of Birmingham Co-evolutionary algorithms mimic evolutionary arms races in nature, and have been applied to a wide range of problems at the intersection of game theory and evolutionary computati... on. While promising, these algorithms are poorly understood from a theoretical perspective. We have a 5 year research project funded by EPSRC to develop runtime analysis of co-evolutionary algorithms. The successful candidate should have a strong background in Theoretical Computer Science or mathematics and will join a team of PhDs and postdocs who are developing the theory of coevolution.
Link:Https://www.cs.bham.ac.uk/~lehrepkSee More >>
Research Assistant in Machine Learning for Indoor Positioning and Wireless Sensing
University of Udine The Data Science and Automatic Verification Laboratory (https://www.datasciencelabuniud.it/) is seeking passionate and skilled Research Assistants to join our dynamic team. This i... s a unique chance to be at the forefront of Indoor Positioning and Wireless Sensing, learning to exploit technologies such as Channel State Information (CSI), 5G, and WiFi. The applicant will explore innovative applications of Machine Learning and Deep Learning techniques in these areas, pushing the knowledge of what devices can perceive about their surroundings.
What We Offer: - An opportunity to collaborate with a leading multinational company, known for its significant contributions to the tech industry. - The positions are part of an excellence project, involving renowned international research groups. - Access to state-of-the-art facilities and resources, fostering your implementation and research capabilities. - Competitive salary for the role. - Duration of the contract: 1 year, with the aim of facilitating the access to next year's PhD admission round (June 2025).
Who We're Looking For: - Individuals with a Master's Degree in Computer Science and a strong background in machine learning. - Enthusiastic researchers eager to contribute to pioneering studies in indoor positioning and wireless sensing. - Candidates who are highly motivated & collaborative.
University of Southern Queensland Prof. Yan Li at University of Southern Queensland Australia is recruiting PhD students with her ARC Discovery Projects about Cybersecurity and AI4Health.
I am also looking ... for self-motivated PhD students who works on Federated Learning, privacy and security, and trustworthy AI with UniSQ-CSC scholarships, regular CSC and UniSQ scholarships open in September.
Please contact me and send me your CV, research statement, transcript and english test result to di.wu@unisq.edu.au (tell me about the work you are proud of and the plan during your PhD, we can also discuss the potential scholarship).
Link:https://diwu.workSee More >>
PhD/Postdoc
AIRI or top-5 state universities AI researchers with proven track record
Various positions (research scientists/engineers/hybrid, technical leads)
AI Safety Institute We are an empowered team of technical experts and operators on a mission to advance research and infrastructure for AI governance.
We are working to:
* Test advanced... AI systems and inform policymakers about their risks; * Foster collaboration across companies, governments, and the wider research community to mitigate risks and advance publicly beneficial research; and * Strengthen AI development practices and policy globally.
To deliver on these ambitious goals, we designed the Institute as a startup in the government, combining the authority of government with the expertise and agility of the private sector.
Our typical interview process includes submitting a CV and short written statement, skills assessments such as a technical interview and a take-home coding test, and 2-4 interviews, including a conversation with a senior member of our team. We tailor this process as needed for each role and candidate.
ELROILAB We are seeking a talented and dedicated Research Scientist to join our team in developing advanced hyperspectral AI solutions for foreign object detection in food manufacturing pr... ocesses. The successful candidate will be responsible for researching and developing innovative methodologies to enhance the detection of contaminants and ensure the highest standards of food safety.
Leonardo.AI Leonardo.Ai is seeking a Senior AI Researcher to join our expanding, global AI team.
This is an exciting opportunity for AI or Machine Learning professionals and academics ... to join the brightest minds, helping Australia’s most potent AI-powered platform unleash the world’s creativity through our foundational model, Phoenix.
As a Senior AI Researcher, you will lead foundational training of our Design Models and integrate our breakthroughs into our platform to enhance user experience. This role involves mentoring junior team members and playing a key role in strategic planning.
Link:https://jobs.ashbyhq.com/leonardo.ai/219897d3-74e4-40b4-8e71-00473555758fSee More >>
PhD Position in Humanoid Locomanipulation
Chalmers University of Technology If you are interested in constraint optimization, optimal control theory and legged robotics, this PhD topic might be very interesting for you. Meet me at IJCAI 2024!
... Link:https://www.linkedin.com/jobs/view/3958612291See More >>
Professor, Post-doc, PhD positions at KU Leuven in Neurosymbolic AI
Örebro We have openings for postdoctoral researchers at the Centre for Applied Autonomous Sensor Systems at Örebro University in the areas of Neurosymbolic AI, Learning and Perceptio... n for Autonomous Systems, Machine Learning and Vision.
The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.
GE Healthcare Roles and Responsibilities - Lead a team of AI scientist and AI engineers to work with large-scale datasets, design and develop novel foundation models based on medical images,... electronic medical records, waveforms, and clinical reports. - Lead the model development lifecycle including model design, experiment, evaluation, prototyping, and production. - Contributing to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses. - Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities. - Demonstrate strong technical leadership as well as knows how to hire, develop, and retain high quality technical talent. Required Qualifications - Graduate degree in computer science or related areas with 6 years of industry experiences (PhD preferred). - 2+ years of science or engineering manager experience. - Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with publications in NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, EMNLP, ACL. - Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) In depth experience with Spark/Hadoop and either PyTorch/Tensorflow. - Experience creating production environment data analytics and applications. Preferred Qualifications: - Extensive experience with handling noisy real world medical and patient data. - Experience working with large scale AI training.
Please email me with your CV
Link:
None
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Staff AI engineer - GE Healthcare
GE Healthcare Primary Responsibilities: - Lead the design and implementation of advanced machine learning models, with a particular emphasis on Large Language Models (LLMs), to automate and ... enhance clinical tasks utilizing diverse data sets like medical images, electronic health records, patient waveforms, and clinical reports. - Ensure the precision and applicability of algorithms across varied patient groups through comprehensive statistical analysis and error estimation. - Spearhead the development and refinement of prototypes, overseeing their evolution into scalable, efficient, and production-ready software. - Maintain and expand your expertise in the latest AI technologies and algorithms, driving innovation within the team. - Facilitate the development of versatile software and data infrastructures, emphasizing reusability, scalability, and integration across various teams and projects. Minimum Qualifications: - Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 5 years AI development for industrial applications in a commercial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years AI development for industrial applications in a commercial setting. - Deep expertise in a specialized area of computer science such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, or Algorithmic Optimization, coupled with strong software development skills. - Mastery of one or more general-purpose programming languages (e.g., Python, Java, C/C++). - Demonstrated experience in leading the deployment of applications to production environments, adhering to the highest standards of operational excellence. - Profound experience with complex, noisy medical datasets and the unique challenges they present.
JKU Linz / TU Wien / ISTA / TU Graz / AAU / WU Wien For the recently established Cluster of Excellence "Bilateral Artificial Intelligence" (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD stud... ents and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below).
In BILAI, the major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI.
The research team, which comprises more than 35 key researchers, is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications.
Johannes Kepler Universität Linz (JKU Linz) Alpen-Adria-Universität Klagenfurt (AAU) Technische Universität Graz (TU Graz) Technische Universität Wien (TU Wien) Institute of Science & Technology Austria (ISTA) Wirtschaftsuniversität Wien (WU Wien)
Board of directors:
Sepp Hochreiter (JKU Linz), Thomas Eiter (TU Wien), Christoph Lampert (ISTA), Axel Polleres (WU Wien) Agata Ciabattoni (TU Wien), Gerhard Friedrich (AAU), Robert Legenstein (TU Graz), Martina Seidl (JKU Linz)
Link:http://www.bilateral-ai.netSee More >>
