10 Ai Research Jobs

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

JOB DESCRIPTION: We are looking for a research manager wholl oversee the development of our AI cybersecurity technologies such as mis/dis/mal-information detection/countermeasures, cognitive security, Security by/for AI. The manager also needs to be able to build an ecosystem that works with multiple user organizations and drive efforts to demonstrate the effectiveness of the developed technologies. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. A self-driven nature, creativity, strong communication skills, and attention to detail, are traits of a successful researcher in this role. Your role will involve the following: Conducting research on one or more of the following technologies: 1. Mis/dis/mal-information detection/countermeasure 2. Cognitive security 3. Security by/for AI Promoting and implementing trials with user organizations utilizing developed technologies in cooperation with internal and external divisions Conducting experiments and data analysis to evaluate the effectiveness of research findings on simulations and real applications Publishing findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops Integrating various stages of technologies, from early stage in-house-developed to commercially available software, to realize impactful solutions Fostering collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward Managing and leading a team including 4-5 researchers REQUIRED SKILLS: Ph.D. or similar post-graduate qualification in computer science or related field or equivalent research Proven experience in Machine Learning, Artificial Intelligence, Deep Learning models, especially Generative AI (Hands-on experience with Large Language Models or Diffusion Models advantage) A passion for cyber security and Anti-disinformation Proficiency in Python/PyTorch and popular data science libraries Good research track record and publications in top-tier conferences and journals Experience in leading research collaboration projects with tangible outcomes. Able to propose research topics by exploring potential future business opportunities. Excellent oral and written communication skills. Experience (>3 years) in managing a research team Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions Experience in integrating multiple technologies from multiple research domains, including AI, security and network Designing and prototyping applications combining a variety of tools and platforms Experience in machine learning programming written in Python and/or web frontend programming written in TypeScript Experience in interdisciplinary research collaborations

We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation. This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change. oriented: Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these. Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research. Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems. Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab. Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas. Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events. Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach. We dont need superheroes, just super minds: Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Publications in top-tier AI conferences and journals Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc. Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters. Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts. Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders. Desired skills Contributions to open-source machine learning projects. Prior experience in a top AI research lab. Experience applying AI/ML to power systems, electrical grids, or related domains.

We are seeking an exceptional and visionary Principal AI Research Scientist to lead our research efforts in developing next-generation foundation models for power grid & substation applications. As a founding member of our new AI lab, you will play a pivotal role in defining our research agenda, driving innovation in algorithms, architectures, and methodologies for scaling AI models, and building and mentoring a world-class team. You will tackle fundamental research challenges with significant real-world impact, pushing the boundaries of AI to revolutionize the energy landscape and address critical challenges related to grid modernization, renewable energy acceleration and climate change mitigation. This is a hands-on IC role that demands a strong research background and deep expertise in AI foundation models and ability to develop for creating transformational change. oriented: Conduct original, high-impact research in foundation models, specifically tailored for power grid data modalities and applications. Spearhead the development of novel deep learning architectures, algorithms, and training methodologies tailored for these. Deeply investigate and advance state-of-the-art research in relevant areas adapting and integrating methods and techniques from public research. Collaborate closely with AI engineers and domain experts to translate research breakthroughs into practical, scalable solutions deployable within real-world power grid systems. Build and mentor a high-performing research team, fostering a collaborative and innovative research culture within the newly formed AI lab. Drive rapid iteration and proof-of-concept (PoC) development to quickly validate research ideas. Effectively communicate research findings to both technical and non-technical audiences (via technical blogs or publications in conferences and journals), and represent the lab externally at conferences and industry events. Independently drive research projects forward, demonstrating strong initiative, problem-solving skills, and a results-oriented approach. We dont need superheroes, just super minds: Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. 7+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Publications in top-tier AI conferences and journals Strong expertise and prior experience with building foundation models and other related concepts, with direct prior experience in at least one of the following highly desired - AI for Simulation/AI for Physics, GNNs, Transformers, Diffusion Models, etc. Proven ability to design, develop, and implement novel deep learning architectures and algorithms and experience scaling solutions involving large datasets and complex models, utilizing large compute clusters. Strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts. Excellent communication, presentation, and teamwork skills, with the ability to lead and inspire a research team and collaborate effectively with diverse stakeholders. Desired skills Contributions to open-source machine learning projects. Prior experience in a top AI research lab. Experience applying AI/ML to power systems, electrical grids, or related domains.