Research Scientist - AI for Sustainability

We seek applications from innovative researchers with machine learning and artificial intelligence expertise to join our Climate and Sustainability team. You will tackle challenges at the forefront of AI, advancing generative and multi-modal model AI for high-impact materials discovery, geospatial and climate-related applications. We seek creative, driven individuals who are comfortable tackling ambiguous challenges, eager to push the limits of what's possible, and committed to shaping the future of AI and sustainability. Applicants should submit a CV and a one-page cover letter that highlights your experience and passion for the research themes outlined.

Your role and responsibilities

As a member of our IBM Research team, you will explore novel research opportunities by addressing problems at the forefront of AI. Potential research topics include, but are not limited to:

• Developing advanced AI architectures and algorithms to train, fine-tune, and apply generative models for multi-modal tasks, directly influencing high-impact industry sectors.
• Enhancing foundation models to solve real sustainability challenges, including specialised foundation models for domain applications as well as enhancing capabilities of general language models.
• Design and test single- or multi-agent AI systems using cutting-edge benchmarks or develop solutions tailored to business-critical use cases.

As part of the role, you must be comfortable identifying and defining research challenges, prototyping solutions, designing experimental conditions to test hypotheses, refining solutions, and communicating findings through patent applications and publications in top-tier conferences.

Required education

Doctorate Degree

Required technical and professional expertise

• Doctorate Degree in Computer Science (especially in Artificial Intelligence focusing on computer vision, LLMs, NLP, data generation), Physics, Mathematics, or a closely related field.
• Demonstrated experience in benchmarking foundational models for real-world applications.
• Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth.
• Expertise in one or more AI areas, including transfer learning, model distillation, surrogate models, and reinforcement learning.
• Research experience in designing and developing domain-specific and/or generalisable models.

Preferred technical and professional experience

• Strong research skills in large AI models for geospatial and climate applications.
• Demonstrated experience in developing, training, and testing generative models, such as LLMs or multi-modal foundation models.
• Demonstrated ability to communicate research through publications or presentations in top-tier conferences such as NeurIPs, ICLR, AAAI, AGU, IGARSS.
• Preferred candidates will have global experience, strong cross-cultural communication skills, and proficiency in multiple languages relevant to key business regions.

OTHER RELEVANT JOB DETAILS

Job Title: Research Scientist - AI for Sustainability

Job ID: 18762

City / Township / Village: Warrington

State / Province: Cheshire

Country: United Kingdom

Work arrangement: Hybrid

Area of work: Research

Employment type: Regular

Position type: Professional

Some travel may be required based on business demand.