Ocean Job Board
Unesco
Software Engineering, Data Science
UTI Giuliana, Italy
EUR 72,747-72,747 / year
Position Number: 1ITSC PA125TP
Grade: P-2
Parent Sector: International Centre for Theoretical Physics (ICTP)
Duty Station: Trieste
Job Family: Natural Sciences
Contract Type: Project Appointment
Duration of contract: 1 year
Recruitment open to: Internal and external candidates
Application deadline (Midnight Paris Time): 27/05/2026
UNESCO Core Values: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism
Founded in 1964 by the late Nobel Laureate Abdus Salam and located in Trieste (Italy), the Abdus Salam International Centre for Theoretical Physics (ICTP) seeks to accomplish its mandate by providing scientists from developing countries with the continuing education and skills that they need to enjoy long and productive careers. ICTP has been a major force in stemming the scientific brain drain from the developing world. For more than 50 years, ICTP has been a driving force behind global efforts to advance scientific expertise in the developing world.
In the context of the International Consortium for Scientific Computing (ICOMP), an ICTP initiative to support computational sciences globally, and under the supervision of Senior Coordinator (Research and Partnerships), the incumbent will provide technical expertise in applied AI to assist ICTP research scientists in implementing these methods in their research software and conduct research in ICOMP related fields. The incumbent will also contribute to ICTP’s training programmes, including the Master in High-Performance Computing (MHPC).
The incumbent will perform the following functions:
Undertake front line research in Applied AI:
• Contribute to the development and implementation of research projects related to Applied AI, including applying to and managing individual research grants.
• Provide guidance and mentoring to students and post-doctoral fellows and guidance to any Associates, visitors or fellows that collaborate on these research projects and serve as their scientific supervisor as needed.
• Report on the results of the research at major international meetings.
Contribute to ICTP Programmes:
• Establish collaborations with scientists from developing countries and identify their scientific needs in areas related to Applied AI. Formulate appropriate recommendations for incorporation within ICTP programmes.
• Organize and contribute to ICTP seminars, schools, workshops, conferences in Applied AI or in closely related fields, either at the ICTP or in developing countries.
• Provide technical expertise to the MHPC Scientific Council, coordinate the MHPC curricula of all courses related to applied AI.
Provide advanced technical support on Applied AI:
• Assist the ICTP scientists and the ICTP scientific community on issues related to Applied AI and efficient deployment of AI workflows
• Collaborate with ICTP scientists in the preparation of research grant proposals, providing the relevant input with respect to large scale data analysis and machine learning methods.
For detailed information, please consult the UNESCO Competency Framework.
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UNESCO’s salaries consist of a basic salary and other benefits which may include if applicable: 30 days annual leave, family allowance, medical insurance, pension plan etc.
The approximate annual starting salary for this post is 72 747 EUR.
For full information on benefits and entitlements, please consult our Guide to Staff Benefits.
Please note that all candidates must complete an on-line application and provide complete and accurate information, by the above deadline.
To apply, please visit the UNESCO Careers website. No modifications can be made to the application once submitted.
The process may include pre-recorded video interviews and/or written assessments, interviews with a Panel, as well as reference checks. In addition, candidates may be requested to provide additional information which may be pertinent to the position’s qualifications.
Please note that all candidates, whether selected or not, will be informed of the outcome of their application in due course.
Short-listed candidates may also be added to Talent Pools; subject to their consent (i.e. Data Privacy Statement).