Baylor University The Central Texas Cyber Range at Baylor University is seeking a postdoc to do research in the area of Cybersecurity and AI; the applicant will also perform the role of Systems Sec... urity Administrator to support the mission and vision of the University within the School of Engineering & Computer Science (ECS) by providing support for the faculty, staff, and students specifically at the Baylor Research and Innovation Collaborative (BRIC). Funding for this position is guaranteed through 31 May 2026; we will seek additional funding to continue this position beyond that date. This position is currently 100% funded by grants from the Department of Education (Grant Awards: P116Z220034 and P116Z230151).
Link:https://ejof.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/BaylorCareers/job/18107/?utm_medium=jobshare&utm_source=External+Job+ShareSee More >>
Postdoc in ERC project on Neurosymbolic RL for Automated Planning and Scheduling
Fondazione Bruno Kessler The open research position is in the field of reinforcement learning for automated planning and scheduling. The STEP-RL project (https://pso.fbk.eu/articles/step-rl), funded by th... e ERC, aims at using modern reinforcement learning techniques to synthesize guidance of various forms (e.g. heuristics, pruning rules, macro actions, parameters configurations) for state-of-the-art automated temporal planners. We are looking for exceptional post-doctoral researchers, passionate about the integration of learning and symbolic AI methods: the STEP-RL project will allow the selected candidate to perform full-time curiosity-driven research on the project themes. This is a unique opportunity to pursue basic research in the area of learning for symbolic systems, as the only expected outcomes are top-tier publications and impactful research in the planning and learning communities.
The candidate is expected to work in close collaboration with the project PI (Andrea Micheli), as well as other researchers, programmers and students involved in the unit. Moreover, the candidate is expected to help in the supervision of PhD students involved in the ERC project. If you are interested please reach out to me at amicheli@fbk.eu
Festo SE & Co KG Position Overview: In this role as Lead AI Engineer, you’ll take a strategic leadership role in shaping our international AI Research & Innovation team. You will be responsibl... e for setting the direction and standards for AI projects, guiding the team in translating advanced AI research into scalable solutions, and mentoring team members to achieve their full potential. Working in tandem with the Lead Software Engineer, you’ll create a roadmap for growth and foster a research-driven, high-performance environment that aligns with our goals to revolutionize industrial automation.
Key Responsibilities:
• Develop and execute the strategic vision for AI projects within the team, ensuring alignment with company objectives and industry needs.
• Lead, mentor, and inspire a team of AI researchers, junior engineers, and automation specialists, building a collaborative and innovative work culture.
• Set and enforce standards for AI development, including model quality, scalability, and reproducibility, across all stages of the AI lifecycle.
• Guide the team in deploying AI solutions with a focus on scalability, reliability, and integration with embedded systems, using modern MLOps practices.
• Serve as a primary point of contact for AI strategy, collaborating with both technical and non-technical stakeholders to define priorities and manage expectations.
• Maintain a strong focus on applied research, bringing the latest advances in AI (deep learning, reinforcement learning, NLP, etc.) into practical, industry-ready applications.
• Advocate for high-quality, research-driven solutions while ensuring compliance with regulatory and certification standards.
Link:
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Lead Software Engineer
Festo SE & Co. KG Position Overview: As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industria... l AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.
Key Responsibilities:
• Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.
• Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.
• Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.
• Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.
• Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.
• Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.
• Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.
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PostDoc - Distributed Machine Learning at the Network Edge
Inria We are looking for a postdoc candidate who could join our team to work on one ore more of the following topics: * Distributed Inference * Online Learning Algorithms with Reg... ret Guarantees * Distributed/Federated Learning * Machine Learning Privacy
Link:https://recrutement.inria.fr/public/classic/en/offres/2023-06139See More >>
Senior AI Research Engineer
Festo SE & Co. KG Pioneering the Next Generation of Industrial AI
Are you passionate about pushing the boundaries of AI research and translating cutting-edge innovations into real-world indu... strial applications? As a Senior AI Research Engineer, you will be at the forefront of developing next-generation AI solutions for automation, robotics, and intelligent control systems.
In this role, you will drive research initiatives in deep learning, reinforcement learning, generative AI, and cognitive systems, collaborating with top-tier universities and industrial partners. You’ll have the opportunity to publish in leading AI conferences while ensuring that your research impacts tangible industrial use cases.
What You’ll Do:
✔ Develop novel AI models that enhance automation and control in industrial environments. ✔ Lead applied research projects, bridging the gap between academia and industry. ✔ Collaborate with a multidisciplinary team to bring AI-driven innovations to embedded systems. ✔ Contribute to open-source AI initiatives and present findings at major AI conferences.
Who You Are:
✔ PhD (or equivalent experience) in AI, Machine Learning, or a related field. ✔ Strong publication record in NeurIPS, ICML, AAAI, or similar conferences. ✔ Expertise in deep learning frameworks (TensorFlow, PyTorch), reinforcement learning, or graph neural networks. ✔ Passion for transforming research into real-world applications.
Join us to define the future of industrial AI.
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AI Engineer
Festo SE & Co. KG From Research to Reality: AI that Transforms Industry
As an AI Engineer, you’ll work on transforming cutting-edge machine learning models into real-world AI solutions for i... ndustrial automation. You’ll bridge the gap between research and production, optimizing AI models for deployment in edge devices, real-time control systems, and robotics applications.
What You’ll Do:
✔ Build and optimize deep learning and reinforcement learning models for real-world applications. ✔ Deploy AI models on embedded and cloud platforms using MLOps best practices. ✔ Work with domain experts to integrate AI-driven decision-making into industrial automation. ✔ Ensure scalability, robustness, and efficiency of AI-driven solutions in complex environments.
Who You Are:
✔ MSc or PhD in AI, Computer Science, or a related field. ✔ Experience with TensorFlow, PyTorch, Scikit-learn, and ML deployment pipelines. ✔ Strong coding skills in Python and C++, with an interest in real-world AI optimization. ✔ Passion for working in a fast-paced, research-driven environment.
Join us in bringing AI from concept to industry-changing innovation.
Link:
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PostDoc - Cooperative Inference Strategies
Inria Inference delivery networks (IDNs) are networks of computing nodes that coordinate to satisfy machine learning (ML) inference requests achieving the best trade-off between latency... and accuracy. IDNs bridge the dichotomy between device and cloud execution by integrating inference delivery at the various tiers of the infrastructure continuum (access, edge, regional data center, cloud). Nodes with heterogeneous capabilities can store a set of monolithic machine-learning models with different computational/memory requirements and different accuracy and inference requests that can be forwarded to other nodes if the local answer is not considered accurate enough. Given a ML model’s placement in an IDN, we will study inference delivery strategies to be implemented at each node in this task.
Link:https://jobs.inria.fr/public/classic/en/offres/2024-07823See More >>
Software Engineer (AI Research & Innovation)
Festo SE & Co. KG Engineering the Backbone of Industrial AI
As a Software Engineer in our AI Research & Innovation team, you will develop the infrastructure, frameworks, and platforms th... at power next-generation AI solutions. Your work will enable AI researchers and engineers to deploy, scale, and maintain AI models seamlessly across industrial automation environments.
What You’ll Do:
✔ Develop scalable AI software frameworks and APIs for real-time automation systems. ✔ Work on performance optimization, ensuring AI-driven solutions meet industry standards. ✔ Design robust data pipelines and MLOps workflows for AI deployment. ✔ Collaborate closely with AI researchers to translate novel algorithms into efficient implementations.
Who You Are:
✔ BSc/MSc in Computer Science, Software Engineering, or related field. ✔ Expertise in Python, C++, Rust, and distributed computing. ✔ Experience with cloud platforms, DevOps, and embedded systems. ✔ Passion for building robust and scalable AI-driven software solutions.
Help us shape the AI infrastructure that powers tomorrow’s automation.
Link:
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Festo SE & Co. KG AI Meets Automation: Building the Future of Intelligent Industry
As an Automation Engineer, you will be the link between AI research and industrial automation, ensuring tha... t cutting-edge AI models can be seamlessly integrated into robotics, control systems, and smart factories. You will work on applying AI for predictive maintenance, real-time control, and autonomous decision-making in industrial settings.
What You’ll Do:
✔ Integrate AI models into industrial automation workflows and PLC systems. ✔ Design, develop, and optimize control systems for AI-enhanced robotics and smart factories. ✔ Ensure real-time responsiveness and reliability of AI-driven automation processes. ✔ Work with AI engineers and domain experts to develop innovative industrial applications.
Who You Are:
✔ Degree in Automation Engineering, Electrical Engineering, or a related field. ✔ Strong knowledge of industrial protocols, PLC programming, and real-time systems. ✔ Experience with AI integration in automation systems, predictive maintenance, or intelligent control systems. ✔ Passion for the intersection of AI and automation.
Be part of a team that’s redefining automation with AI.
Link:
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PostDoc - Model Placement in Inference Delivery Networks
Inria Inference delivery networks (IDNs) are networks of computing nodes that coordinate to satisfy ML inference requests achieving the best trade-off between latency and accuracy. IDNs... bridge the dichotomy between device and cloud execution by integrating inference delivery at the various tiers of the infrastructure continuum (access, edge, regional data center, cloud). Nodes with heterogeneous capabilities can store a set of monolithic machine-learning models with different computational/memory requirements and different accuracy and inference requests that can be forwarded to other nodes if the local answer is not considered accurate enough. In this postdoc, we will study the problem of AI model placement in an IDN. This is a challenging optimization problem that involves a non-trivial tradeoff between model effectiveness, inference latency, and resource availability while also dealing with the natural dynamicity of the network, e.g., due to users’ request process or changes in available computing and communication resources.
Link:https://jobs.inria.fr/public/classic/en/offres/2024-07176See More >>
AI Engineer / Scientist
Permanence AI Permanence is currently hiring experienced engineers and scientists to work on AI-aided software defect repair and maintenance. Roles are based in New York, NY. Reach out if you'r... e interested in speaking with one of our founding engineers at AAAI!
Permanence brings together top AI researchers and engineers to empower Fortune-500 security and software teams to secure development for the future. By automating code maintenance and security remediation activities, development teams are freed from ever-increasing maintenance burdens and security teams gain direct control over their firm's security posture. As bad actors leverage AI, we believe enterprises deserve state-of-the-art systems to defend and protect themselves.
Visiting PhD at Tübingen University and the Festo Autonomous Systems Lab.
Tübingen University Festo IoC Lab We are excited to offer a unique opportunity for a Visiting PhD Researcher to join the collaborative efforts between the Industry on Campus group at the University of Tübingen and... the Autonomous Systems Lab at Festo. This position provides an immersive experience at the intersection of academic research and industrial application, focusing on cutting-edge autonomous systems and intelligent automation.
Position Overview:
As a Visiting PhD Researcher, you will engage in advanced research projects that bridge theoretical foundations with practical implementations. Your work will contribute to the development of innovative solutions in autonomous systems, leveraging the combined resources and expertise of both the University of Tübingen and Festo.
Key Responsibilities: • Collaborative Research: Work closely with interdisciplinary teams from both institutions to explore and develop new methodologies in autonomous systems and intelligent automation. • Project Development: Lead and contribute to projects that translate academic research into viable industrial applications, particularly in the fields of robotics and control systems. • Dissemination: Present research findings at conferences, publish in reputable journals, and contribute to workshops and seminars within both academic and industrial settings.
What We Offer: • Innovative Environment: Access to state-of-the-art facilities and resources at both the University of Tübingen and Festo, fostering a rich environment for cutting-edge research. • Mentorship: Guidance from leading experts in academia and industry, supporting your professional and academic development. • Networking Opportunities: Engage with a broad network of professionals, researchers, and industry leaders, enhancing your career prospects and research impact.
Link:
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AI Reasoning - Internship
MERL MERL is seeking passionate and skilled research interns to join our team focused on developing trustworthy machine learning technologies towards realizing more capable, general ag... ents. This is an exciting opportunity to make an impact on the field of AI safety and generalization, with the aim of publishing at leading AI research venues.
Postdoctoral Research Fellow - Artificial General Intelligence (AGI)
MERL Mitsubishi Electric Research Laboratories (MERL) is seeking exceptional candidates for a Postdoctoral Research Fellow position focused on artificial general intelligence (AGI) res... earch. This unique opportunity allows early-career scientists to pursue their own original research agenda at an academically-oriented industrial laboratory. This position offers a valuable stepping-stone for both academic and industrial research career paths. The expected appointment for a Postdoctoral Research Fellow is 2 years and may lead to a subsequent full-time employment at MERL. Please make an application through the link .
Link:https://www.merl.com/employment/employment/#CI0130See More >>
Internship - Quantum AI
MERL MERL is excited to announce an internship opportunity in the field of Quantum Machine Learning (QML) and Quantum AI (QAI). We are seeking a highly motivated and talented individua... l to join our research team. This is an exciting opportunity to make a real impact in the field of quantum computing and AI, with the aim of publishing at leading research venues. Please check out the link Link:https://merl.com/employment/internship-openings.php#CI0082See More >>
Internship - Efficient AI
MERL We are on the lookout for passionate and skilled interns to join our cutting-edge research team focused on developing efficient AI techniques for sustainability. This is an exciti... ng opportunity to make a real impact in the field of AI and environmental conservation, with the aim of publishing at leading AI research venues. Please check out the link: Link:https://merl.com/employment/internship-openings.php#CI0080See More >>
Internship - Human-AI Interaction
MERL MERL is excited to announce an internship opening for a talented researcher to join our team. We are looking for an individual to contribute to cutting-edge research in human-mach... ine interfaces (HMI) using multi-modal bio-sensors. This is an exciting opportunity to make a real impact in the field of human-machine interaction and biosignal processing, with the aim of publishing at leading research venues. Please check out our link Link:https://merl.com/employment/internship-openings.php#CI0083See More >>
Research position on computer vision and process mining
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 AI, under the supervision of Assistant 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 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 reach out!
Link:https://djordjezikelic.github.io/openings/See More >>
Hokkaido University By integrating numerical analysis and differential geometry into deep learning, we are developing artificial intelligence methods that balance high modeling accuracy with reliabil... ity and interpretability. This position is part of the JST CREST project (“Prediction Mathematical Foundation” area), "Operator Learning via Synergy of Geometric Classical Field Theory and Infinite-Dimensional Data Science" (PI: Professor Takaharu Taniguchi, Kobe University). The successful candidate will engage in research on topics such as:
Even candidates without direct research experience in these topics are encouraged to apply if they have a research background in one of the following fields and are motivated to integrate their expertise with deep learning:
Numerical analysis Geometric mechanics Structure-preserving numerical integrator Theory of partial differential equations
AIST (National Institute of Industrial Science and Technology) AIRC in AIST (National Institute of Advanced Industrial Science and Technology) is seeking exceptional candidates for Postdocs focused on Agentic AI, LLM Reasoning with Knowledge,... Knowledge Editting, Model Merge, and Mixture of Experts in the domain of AI safety. Other technical keywords relevant to this position include Embodied-AI, NLP, Information Retrieval, Task-Oriented Dialogue systems, and Uncertainty Quantification.
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AI Research Scientist/Engineer
Accenture Email me at tcwmails@gmail.com for a referral or happy to meet up to chat. Send a direct message to meet!
As an Advanced Senior AI Research Scientist, you formulate real-w... orld problems into practical, efficient, and scalable AI and Machine Learning problems. You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem. As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you’ll be expected to construct methodologies that clearly demonstrate their value. You’ll also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
Link:https://www.accenture.com/us-en/careers/jobsearchSee More >>
Senior Scientist
Merck Co., Inc Primary Activities
- Develop deep learning based computer vision platform for translational and clinical applications - Serves as statistical representative in the cross... -functional teams for product discovery and development. - Ensures that study designs are consistent with program objectives and meet worldwide regulatory and marketing needs. - Identifies technical or other potential problems arising in the design, conduct, and analysis of non-clinical or clinical studies, proposes solutions and carries them out. - Identifies opportunities to add value to drug / vaccine discovery and development programs. - Analyzes data and interprets results from non-clinical or clinical studies. - Applies and implements basic and complex statistical techniques to these analyses. - Orally presents and prepares written reports to effectively communicate analysis results to audience with diverse background and expertise. - Provides responses to queries relating to study design, analysis, and interpretation posed by the research scientists, clinical scientists, and regulatory agencies. - Is involved in research activities for innovative statistical methods
Education Minimum Requirement
- Ph.D. or equivalent degree in Statistics / Biostatistics /Computer Science/Data Science or related disciplines or - A Master’s degree with a minimum of 4 years of relevant work experience.
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PI, Postdoc, AI engineer, PhD/MS students
Hangzhou Institute of Medicine, Chinese Academy of Sciences Center for AI and Intelligent Medicine
Job openings: PI, Postdoc, AI engineer, PhD/MS students
We are a young team of over 80 members of PI, Postdoc, AI engineer, an... d PhD/MS students. Three key areas: 1. LLM, agents, DL, RL, FL。 Key projects: Dr. Copilot, AI Assistants for doctors; ScholarClub, deep research with searching, understanding, collaboration and creating.
2. AI for drug design DNA/RNA/Protein/Peptide structure design and prediction. Key projects: personalized cancer vaccine, AMP
3. LLM and agents for multiomics, multimodal Genomics, proteomics, and pathology. Key projects: single cell multimodal LLM, spatial pangenomics
Hangzhou Institute of Medicine (HIM) is the Chinese Academy of Sciences’ first institute explicitly devoted to the research and development of medicine. By partnering with the Zhejiang Cancer Hospital, we address real medical problems.
Link:http://cognizationlab.com/andyliSee More >>
Postdoctoral Research Position at UC Irvine (Southern California)
UC Irvine The intelligent decision-making group at UCI is looking to hire a postdoctoral researcher with expertise in artificial intelligence. Current research directions in the group inclu... de: robot coordination and planning for large scale manufacturing and warehousing; efficient navigation planning that trades off between two or more objectives; multi-agent reinforcement learning; coordination of delivery drones; and causal decision making. Expertise in heuristic search, symbolic planning, probabilistic reasoning and planning, causal reasoning, and/or robot coordination on a large scale (such as multi-agent pathfinding) is helpful. Interested researchers should contact Prof. Sven Koenig for a longer announcement and then send him a CV and a list of three references.
Link:idm-lab.orgSee More >>
Post-doctoral Fellowship
NYU Abu Dhabi The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Postd... octoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential.
Link:https://apply.interfolio.com/160625See More >>
PhD student on automated reasoning an ML in Prague
CTU Prague Our research group investigates the connection between ML and automated reasoning, math, SMT, and other related topics. We're looking for PhD students to work on this topic.
... Link:https://people.ciirc.cvut.cz/~janotmik/See More >>
Full funded PhD student opportunity at Monash University DSAI Lab
Monash University We've got another fully funded PhD studentship that we're looking for computer scientists or engineers with a more technical disposition. This will be an applied AI engineering Ph... D working as part of a team (including other PhDs and Research Engineers) to develop an LLM-based infrastructure to improve the quality and effectiveness of Turning Point’s helplines for alcohol and other drug addiction.
The downside (or upside depending on your perspective) is that this scholarship is only open to people with citizenship or permanent residence in Australia or New Zealand (i.e. it's funded by the CSIRO Next Generation AI Graduate Program).
Turning Point is a national treatment, research and education centre that provides leadership in the alcohol and other drug, gambling and mental health sectors. The project brings together leading research on Artificial Intelligence, Human-Computer Interaction and Addiction Studies at Monash University.
The offer (it's better than normal):
$42,483 AUD tax-free stipend (for 3.5 years, subject to annual indexation) $5,000 AUD pa x 3 years training allowance $5,000 AUD for travel $840 AUD thesis allowance $5,000 AUD cost of living allowance ($2,000 paid at enrolment and $3,000 at PhD confirmation) additional paid opportunities for tutoring or research engineering (up to 2 days a week) Like I said, the goal of the PhD is to leverage advances in artificial intelligence to create the next generation of helplines for people with alcohol and other drug addictions. Through unique access to Turning Point helpline call data, you will develop and deploy LLM technologies to evaluate helpline effectiveness, identify areas for improvement, and provide LLM-supported tools for dynamic helpline respondent support.
Joyful Health Joyful Health is building the AI-powered financial operating system for healthcare practices. Our mission is to bring the joy back to running a private practice by simplifying fin... ancial operations so providers can focus on patient care.
We’re looking for a talented and ambitious machine learning engineer with 5+ years of experience in NLP or Computer Vision who’s excited to solve one of the toughest challenges in computing—agent navigation of user interfaces. You’ll play a key role in inventing novel models and pushing SOTA.
AI agent navigation of healthcare systems, entity alignment of unstructured data and long term planning are critical tasks to get doctors paid what they’re owed. We’re leading the push to empower underserved providers with the support they need. Integrating the financial data of small healthcare practices—each with its own unique systems—has long been a roadblock in the industry.
Link:https://www.joyfulhealth.io/See More >>
Summer research intern
Futurewei Technolgies We are looking for summer research interns(PhD preferred), working on LLMs, RL, Novel Transformer architecture, memory mechanisms, long sequences processing, etc.
... Link:
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Research intern
Lica World Working on multimodal foundational graphic design models
Link:... None
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Fully funded PhD and Postdoc positions in AI/ML, Federated Learning, Computer vision
University of Maryland, Baltimore County Multiple fully funded PhD and Postdoctoral positions are available in AI, Machine Learning (ML), and Federated Learning at the University of Maryland, Baltimore County. We are see... king candidates with a strong focus and interest in developing innovative AI/ML/Federated Learning, Computer vision technologies for health and remote sensing applications. Successful candidates will join a dynamic team and collaborate with multidisciplinary researchers from multiple universities to apply their skills to impactful projects. If you are interested in these exciting opportunities, please contact: Sanjay Purushotham at psanjay@umbc.edu for more details.
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King Fahd University of Petroleum and Minerals If have PhD from reputable universiry obtained within 2-3 years and strong publication record in inteeligent secure systems, multimodal deep learning, and federated learning.
... See More >>
Senior Computer Vision Engineer
Verus Research Verus Research is searching for a highly skilled Senior Computer Vision Engineer to lead the development of advanced computer vision algorithms.
The Senior Computer Vision... Engineer will play a strong role in taking projects from conception to deployment, focusing on extracting valuable information from both synthetic and real-world data sources.
The Senior Computer Vision Engineer will work on both offline and online data processing tasks, including feature identification, object state estimation, and scene reconstruction. The position requires customer interaction and collaboration with various stakeholders to solve complex technical challenges. Verus Research is committed to solving our customers’ most challenging technical problems and seeks solution-oriented individuals to enhance our team’s ability to thrive in this role. This position is based in Albuquerque, N.M.
Colby College The Davis Institute for Artificial Intelligence at Colby College invites applications for a DavisAI postdoctoral associate.
The DavisAI Institute for AI is the first cross-... disciplinary institution for AI at a liberal arts college. The institute exists to facilitate interdisciplinary human-centered faculty and student scholarship by empowering members of the Colby community to become a critical, informed AI tool users and/or application engineers. The institute also works with local, regional and national partners on research, educational and outreach activities.
The successful candidate for this position will have the opportunity to pursue interdisciplinary AI research in a highly collaborative environment and to shape the future of AI education within the liberal arts context. The position offers a competitive salary, generous research and travel funding allowances, mentoring, and professional development. This is an annual renewable appointment for up to two years, subject to performance.
For more information on this position as well as qualifications and application instructions, please go to http://apply.interfolio.com/161690
Multiple AI4EconFinance & LLM4EconFinance PhD and Post-Doc Positions Available - Nanjing University FinTech Research Center!
Nanjing University Are you fascinated by how will AGI shape and revolutionize future financial and economic systems and financial and economics research? How can robots and humans co-exist in a new ... financial-economic paradigm? Join Nanjing University FinTech Research Center, one of China’s top research institutions, and work on cutting-edge Big Data, Large Models and Intelligent Super Computing, and Financial Intelligence innovations!
About Us Nanjing University is a prestigious institution consistently ranked among China’s top universities.
🔬 Our Unique Research Advantages: ✅ Interdisciplinary Innovation – Integrating hard technology (Big Data, Large Models and Intelligent Super Computing) & soft sciences (Finance, Economics and Social Sciences) ✅ Top-tier Research Center – Nationally recognized for leading AI+Finance and FinTech ✅ International Collaboration – Strong research ties with internationally recognized universities for innovation and development ✅ Theory & Application – Problem-driven, empirically grounded, and innovation-focused research
📌 Research Areas: We R&D both general AI models and domain-specific financial applications, including: 🧠 New AI Paradigms – Big Data, Large Models, and Intelligent Super Computing 🌎 Embodied Intelligence – Multi-modal AI & world modeling 🤖 Robotics in Economics and Finance 🤝 Human-Machine Integration – Fusing human expertise with AI agents ⏳ Spatiotemporal Modeling 📚 Data and Knowledge Fusion Paradigm 🔄 Reinforcement Learning & Logical Reasoning 📈 AI Optimization – Optimizing for extreme performance, including non-transformer architectures 📝 AI4SocialScience & LLM4SocialScience
🎯 What You Will Gain: Due to space limitation here, pls contact us dingxiaowei@nju.edu.cn for details.
(You don't have to know Economics and Finance - you could deem them as testing application domain and data sets)
Also welcome other collaborators, interns, research assistants, exchange students, open-source project participants, etc.
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Machine Learning Engineer at a Series A Startup
Two Dots Come work on hard problems in San Francisco at a Series A startup involving:
Using RL on Codegen models
Fine tuning VLMs for document understanding and key value ext... raction from tables
Backtesting and simulations of model pipelines
Chatbots and agents that help automate task for financial services firms
University of Birmingham The Research Fellow will play a crucial role within the Safeguarded AI project, funded by ARIA (Advanced Research and Invention Agency). As a key contributor, the Research Fellow ... will work in close collaboration with Dr. Mirco Giacobbe and Dr. Leonardo Stella, as part of an industrial collaboration with AstraZeneca, Cambridge UK, and will engage in cutting-edge research in AI safety, formal verification, dynamical systems and mathematical modelling for the analysis of biochemical processes. In this role, you will develop mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on formal safety specifications.
This project offers an opportunity to be at the forefront of interdisciplinary research, making a significant contribution to the fundamental principles of how AI technologies are verified and safeguarded, with the potential to shape future regulatory standards for the application of AI in the biopharmaceutical manufacturing sector.
Feel to get in touch for a chat. I’ll be around until Sunday PM
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Research Fellow in time complexity analysis of bio-inspired optimization
Southern University of Science and Technology Applications are invited for a fully-funded Research Fellow (Postdoc) in the time complexity analysis of bio-inspired computation techniques such as evolutionary algorithms, genet... ic algorithms, artificial immune systems which are widely used heuristic search techniques at the heart of artificial intelligence.
About the project Bio-inspired meta-heuristics are general-purpose optimization paradigms that draw inspiration from biological systems Popular examples include evolutionary algorithms, genetic algorithms and artificial immune systems. The AI-Theory Lab works towards providing a theoretical foundation for understanding the working principles of these heuristic algorithms by quantifying how quickly they find satisfactory solutions for various problems, thus explaining when and why they are efficient. This understanding exposes how performance depends on algorithmic parameters, enables informed choices as to when to use what kind of heuristic and allows the design of better bio-inspired algorithms. The aim of the project is to develop the mathematical methodology for explaining and predicting the performance of bio-inspired search heuristics. The methodology will be used to derive and extend the theoretical foundations of bio-inspired computation.
Selected topics include the performance analysis of:
a) Population-based search heuristics: highlighting their advantages over single-trajectory algorithms and/or the advantages of recombination over mutation-only algorithms b) Algorithm configurators: how to evolve the optimal parameter settings for the meta-heuristic c) Hyper-heuristics: how to evolve the meta-heuristic itself d) Genetic programming: how to evolve computer programs effectively;
Person Specification
• PhD in computer science (or close to completion) or closely related area and expertise in the time complexity analysis of randomized algorithms and/or theory of bio-inspired computation
PhD in Time complexity Analysis of Bio-Inspired Computation
Southern University of Science and Technology Applications are invited for a fully-funded PhD studentship on the runtime analysis of bio- inspired computation techniques such as evolutionary algorithms, genetic algorithms, ar... tificial immune systems which are widely used heuristic search techniques at the heart of artificial intelligence.
The successful applicant will perform high quality research in the area of time complexity analysis at the interface between bio-inspired computation and artificial intelligence. During the PhD studies, he/she will develop expertise in one or more promising research areas of his/her choice in this wide research area. Possible topics include the performance analysis of: a) Population-based meta-heuristics: highlighting their advantages over single-trajectory algorithms and/or the advantages of recombination over mutation-only algorithms; b) Algorithm configurators: how to evolve the optimal parameter settings for the meta-heuristic; c) Hyper-heuristics: how to evolve the meta-heuristic itself; d) Genetic programming: how to evolve computer programs effectively.
Applicants must have recently completed a first class (or equivalent) undergraduate degree or a Masters degree with distinction in Computer Science or close to completion. Outstanding applicants from Mathematics are also encouraged to apply.
This studentship covers the full tuition fee and provides a tax-free stipend up to RMB 150,000 (approx. GBP 16,000/EUR 19,000) per annum for four years. The studentship also covers free on- campus accommodation and subsidized on-campus meals in over 10 different cafeterias/canteens as well as popular western and eastern fast food chains. Funding is available for conference attendance and collaborative research visits to related organizations world-wide. The AI-Theory Lab at SUSTech maintains effective collaborations with all the research organisations with major expertise in the theory of bio-inspired computation world-wide.
