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Over the past 10 years, Serbia has made progress in modernizing its strategic and regulatory framework to support development of the information society. With digital transformation of the national economy and public administration high on the government’s agenda, Serbia now has a good chance for future-proofing its administration’s capabilities for rapid deployment of cost-effective, secure and citizen-focused services, and coordinated implementation of ICT policies. First steps have been made with the establishment of the central Office for IT and e-Government (ITE) and strengthening of the Ministerial Council for IT and Innovative Entrepreneurship, but expectations from these institutions run high and they need an initial push to meet the expectations and demonstrate the ability of the government to deliver.
Serbia was the first country in the region to develop and adopt the Artificial Intelligence (AI) strategy for the period 2020-2025 (hereinafter AI strategy) and to established the Institute for AI. The newly established Institute would lead the development of AI and provide the ground for rapid development of innovations and start up ecosystem and attract the new investment.
This project aims to support the efforts to build internal capacities of the ITE by establishing an AI implementation unit to strengthen and shape the nascent AI ecosystem in Serbia and improve collaboration among public and private sector and academia. The AI implementation unit seeks to underpin the institutional and legal frameworks for AI, secure effective coordination and monitoring of the AI strategy and assist other institutions in introducing AI use cases in priority sectors (medicine, energy, telecommunications, transport/mobility, smart cities, education, agriculture, justice/ethics, security, environment, public administration). Thus, the project aims at enhancing the digital transformation of Serbia’s economy, in particular through increasing human capital, enhancing the regulatory framework and implementing innovative solutions.
Institutional Arrangement
The Project Analyst (Researcher for AI) will work under the overall guidance and supervision of the Technical Advisor – Artificial Intelligence.
Core | |
Achieve Results: | LEVEL 3: Set and align challenging, achievable objectives for multiple projects, have lasting impact |
Think Innovatively: | LEVEL 3: Proactively mitigate potential risks, develop new ideas to solve complex problems |
Learn Continuously: | LEVEL 3: Create and act on opportunities to expand horizons, diversify experiences |
Adapt with Agility: | LEVEL 3: Proactively initiate and champion change, manage multiple competing demands |
Act with Determination: | LEVEL 3: Think beyond immediate task/barriers and take action to achieve greater results |
Engage and Partner: | LEVEL 3: Political savvy, navigate complex landscape, champion inter-agency collaboration |
Enable Diversity and Inclusion: | LEVEL 3: Appreciate benefits of diverse workforce and champion inclusivity |
Thematic Area | Name | Definition |
Digital & Innovation | Digital ecosystems
| Knowledge of how they work, understanding of the opportunities and challenges for governments and society
|
Digital & Innovation | Systems thinking & transformation
| Understand that complex problems need a non-reductionistic, holistic approach. Ability to explore challenges from multiple perspectives by zooming in and out, with a focus on relationships and flows rather than individual elements; understand how certain dynamics and conditions are driving and influencing an issue. Ability to develop a collective understanding by a mapping systems and their dynamics (e.g. flows or resources, information; power relations); is able to handle ambiguity and can help others navigate it. Being able to identify intervention points to leverage change and system transformation by setting out a coherent collection of multiple interventions to probe the system for desirable effects. Understand that change is non-linear and unpredictable; being comfortable and able to work with emergence. |
Digital & Innovation | Data literacy | Understand the potential as well as the limitations of using data driven innovation. Ability to use a mix of data sources (quantitative, qualitative or real-time techniques) to develop understanding, identify patterns to inform decision making or identify opportunities for further exploration. |
Digital & Innovation | Data privacy and digital ethics | Knowledge of ethical usage of digital technology (e.g. AI, robotics, automation) and data. Ability to assess ethical implications when using, combining or sharing data, when building or implementing AI systems, and when advising on robotization and automation etc. Ability to design privacy protocols to ensure data is protected and used for legitimate purposes without unnecessary privacy risks.
|
Business Management | Digital Awareness and Literacy | Ability and inclination to rapidly adopt new technologies, either through skillfully grasping their usage or through understanding their impact and empowering others to use them as needed |
Required Skills and Experience
Education:
Experience:
Required Skills:
Desired skills in addition to the competencies covered in the Competences section:
The online application form must be fully completed. Applicants are required to carefully complete their online application form and reflect all of their work experience history in the application.
Managers may ask (ad hoc) for any other materials relevant to pre-assessing the relevance of their experience, such as reports, presentations, publications, campaigns or other materials.
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