Description
Start date: Negotiable
Clearance: NATO Secret
Location: Remote Rare travel to The Hague or Mons
• University degree (at minimum master’s level) in Computer Science, Electrical NATO UNCLASSIFIED NATO UNCLASSIFIED Page 12 of 14 Engineering, Artificial Intelligence, or a closely related field. A PhD in a relevant AI/ML discipline is strongly preferred.
• More than 15 years of professional experience in artificial intelligence, machine learning, signal processing, or related fields, including direct experience in research and development of AI/ML systems.
• Demonstrated expertise in deep learning science and technology, including architectures such as DNNs, CNNs, RNNs, LSTMs, Transformers, and generative models, with application to real-world problems.
• Strong track record of managing and leading AI/ML research projects, including coordination of proposal writing, project management, supervision of researchers, and engagement with industry and public-sector partners
• Experience in conducting feasibility studies, state-of-the-art technology assessments, and technology road mapping for AI/ML solutions in a research or applied context.
• Proven ability to translate complex AI/ML concepts into actionable recommendations for non-specialist audiences, including military and defence-sector stakeholders.
• Experience working in or with academic institutions, including supervision or supervision of PhD students and management of collaborative research programmes funded by NATO, national or EU bodies.
• Demonstrated experience in responsible AI principles including ethics, explainability, fairness, and governance within AI/ML system design.
• Prior experience in collaborating with or providing consulting services to defence, security, or government organisations on AI/ML-related topics.
• Candidate must have the nationality of one of the NATO nations.
• Excellent command of spoken and written English.
Desirable Skills:
• Experience with AI/ML application domains directly relevant to defence and military systems, including but not limited to target characterisation, trajectory estimation, sensor data fusion, situational awareness, and decision-support systems.
• Experience with the NATO BMD Programme, IAMD concepts, or NATO C4ISR systems architecture. Familiarity with NATO responsibilities and organisation, including ACT and ACO.
• Prior working experience in an international environment comprising both military and civilian elements.
• Participation in international standardisation bodies or working groups related to AI, signal processing, or communications.
• Experience with innovative emerging technologies such as large language models (LLMs), reinforcement learning for complex systems, multimodal AI, and human-agent interaction.
• More than 50 peer-reviewed scientific publications, or equivalent evidence of recognised scientific standing in the AI/ML field (as evidenced by citation count, h-index, or equivalent bibliometric indicators).
Clearance: NATO Secret
Location: Remote Rare travel to The Hague or Mons
• University degree (at minimum master’s level) in Computer Science, Electrical NATO UNCLASSIFIED NATO UNCLASSIFIED Page 12 of 14 Engineering, Artificial Intelligence, or a closely related field. A PhD in a relevant AI/ML discipline is strongly preferred.
• More than 15 years of professional experience in artificial intelligence, machine learning, signal processing, or related fields, including direct experience in research and development of AI/ML systems.
• Demonstrated expertise in deep learning science and technology, including architectures such as DNNs, CNNs, RNNs, LSTMs, Transformers, and generative models, with application to real-world problems.
• Strong track record of managing and leading AI/ML research projects, including coordination of proposal writing, project management, supervision of researchers, and engagement with industry and public-sector partners
• Experience in conducting feasibility studies, state-of-the-art technology assessments, and technology road mapping for AI/ML solutions in a research or applied context.
• Proven ability to translate complex AI/ML concepts into actionable recommendations for non-specialist audiences, including military and defence-sector stakeholders.
• Experience working in or with academic institutions, including supervision or supervision of PhD students and management of collaborative research programmes funded by NATO, national or EU bodies.
• Demonstrated experience in responsible AI principles including ethics, explainability, fairness, and governance within AI/ML system design.
• Prior experience in collaborating with or providing consulting services to defence, security, or government organisations on AI/ML-related topics.
• Candidate must have the nationality of one of the NATO nations.
• Excellent command of spoken and written English.
Desirable Skills:
• Experience with AI/ML application domains directly relevant to defence and military systems, including but not limited to target characterisation, trajectory estimation, sensor data fusion, situational awareness, and decision-support systems.
• Experience with the NATO BMD Programme, IAMD concepts, or NATO C4ISR systems architecture. Familiarity with NATO responsibilities and organisation, including ACT and ACO.
• Prior working experience in an international environment comprising both military and civilian elements.
• Participation in international standardisation bodies or working groups related to AI, signal processing, or communications.
• Experience with innovative emerging technologies such as large language models (LLMs), reinforcement learning for complex systems, multimodal AI, and human-agent interaction.
• More than 50 peer-reviewed scientific publications, or equivalent evidence of recognised scientific standing in the AI/ML field (as evidenced by citation count, h-index, or equivalent bibliometric indicators).