Background
Diversity, Equity and Inclusion are core principles at UNDP: we value diversity as an expression of the multiplicity of nations and cultures where we operate, we foster inclusion as a way of ensuring all personnel are empowered to contribute to our mission, and we ensure equity and fairness in all our actions. Taking a ‘leave no one behind’ approach to our diversity efforts means increasing representation of underserved populations. People who identify as belonging to marginalized or excluded populations are strongly encouraged to apply. Learn more about working at UNDP including our values and inspiring stories.
UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.
The United Nations Development Programme (UNDP) Office of Information Technology and Management (ITM) is the organization’s primary provider of ICT systems and Green Energy services to a global network of 155+ country offices and UNDP partners worldwide. The mission of the ITM Smart Infrastructure Services is to “Create Smart Facilities, build local Capacity and Inspire and Movement”, which guarantees efficient, innovative, and sustainable management of technologies for UN facilities, and consistency with Sustainable Development Goals (SDGs). The Smart Facility solutions include Green Energy services, Connectivity, Security, and IoT and Data.
ITM offers a framework of best practices to deliver resilient, highly available, and sustainable business solutions that permeate across the organization. The ITM office in Copenhagen is expanding the team to cover respective green energy services which include, but are not limited to, e-Mobility, solar PV installation, energy efficiency, training and capacity building and waste management. These services are aligned with the organization’s Digital Transformation Agenda and Smart Facilities Initiative.
If you are passionate about leveraging artificial intelligence to create tools and automate processes that drive the renewable energy revolution in particular, and Smart Facilities in general, we invite you to join our dynamic team and make a meaningful impact on the future of sustainable energy.
Duties and Responsibilities
3. Scope of Work
As an Artificial Intelligence Green Energy Analyst, you will play a pivotal role in developing and optimizing AI-driven solutions for renewable energy systems and processes. You will be responsible for designing, implementing, and improving algorithms that enhance the efficiency, reliability, and cost-effectiveness of providing green energy services. Your key responsibilities will include:
- Develop AI-powered tools that optimize provision of renewable energy services, including storage and distribution, where applicable and feasible
- Implement predictive analytics and machine learning techniques to forecast energy demand and supply patterns.
- Collaborate with different teams to integrate AI solutions into existing renewable energy infrastructure.
- Conduct research to identify new opportunities for applying AI in green energy technologies and other components of Smart Facilities in general.
- Analyze data from renewable energy sources (solar, wind, hydro, etc.) to assist efforts aimed at enhancing performance and operational efficiency.
- Continuously improve AI models through iterative testing, validation, and refinement.
- Stay updated on industry trends and advancements in AI that have an impact on green energy technologies.
- The incumbent performs other duties within their functional profile as deemed necessary for the
efficient functioning of the Office and the Organization.
4. Institutional Arrangement
- On a day-to-day basis, the Artificial Intelligence Analyst will be working with and directly reporting to the Global ICT & Green Energy Specialist
Progress reporting will be done in the weekly Green Energy Team meetings.
Competencies
| Core |
| Achieve Results: |
LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline |
| Think Innovatively: |
LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements |
| Learn Continuously: |
LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback |
| Adapt with Agility: |
LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible |
| Act with Determination: |
LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident |
| Engage and Partner: |
LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships |
| Enable Diversity and Inclusion: |
LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination |
|
Cross-Functional & Technical competencies (insert up to 7 competencies)
| Thematic Area |
Name |
Definition |
| Digital & Innovation |
Systems thinking & transformation |
Understand that complex problems need a nonreductionistic, 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 engineering |
Ability in programming languages such as SQL,
Python, and R, be adept at finding warehousing
solutions, and using ETL (Extract, Transfer, Load)
tools, and understanding basic machine learning and
algorithms
|
|
Information Management &
Technology
|
Data Management & Analytics |
Knowledge in data management, data sciences,
ability to structure data, develop dashboard and
visualization. Design data warehouses, data lakes or
data platforms concepts. Familiarity with Machine
leaning, natural language processing or generation
and the use of artificial intelligence to support
predictive analytics.
|
|
2030 Agenda: Planet
|
Nature, Climate and Energy |
Energy efficiency concepts, renewable energy, access to energy; technologies
and practical application
|
| Business Direction and Strategy |
System Thinking |
Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system |
|
Required Skills and Experience
| Min. Academic Education |
- Advanced university degree (Master’s in degree or equivalent) in Electrical Engineering, Machine Learning, Data Science, Computer Science, or a related field is required. Or
- A first-level university degree (bachelor’s degree)in the areas stated above , in combination with an additional two years of qualifying experience will be given due consideration in lieu of the advanced university degree
|
| Min. years of relevant Work experience |
- Up to 2 years (with Master’s degree) or minimum 2 years (with Bachelor’s degree) in areas related to data analysis, machine learning, AI or similar is required.
|
| Requiredskills and competencies |
- Proven experience in developing AI/machine learning solutions;
- Proven experience in strong programming skills in languages such as Python, R, or MATLAB;
- Experience with data analysis, statistical modeling, and optimization techniques;
- Familiarity with AI frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn);
- Demonstrated experience in collaborative teamwork and strong communication skills
|
| Desired additional skills and competencies |
- Knowledge of renewable energy systems and technologies (solar, wind, hydro, etc.) is an asset.
- Experience with real-time control systems and IoT applications in renewable energy is desired.
- Publications or patents in the field of AI and renewable energy is asset.
|
| Required Language(s) (at working level) |
- Fluency in English is required. Knowledge in one or more additional UN languages will be an asset.
|
| Professional Certificates |
|
Disclaimer
Under US immigration law, acceptance of a staff position with UNDP, an international organization, may have significant implications for US Permanent Residents. UNDP advises applicants for all professional level posts that they must relinquish their US Permanent Resident status and accept a G-4 visa, or have submitted a valid application for US citizenship prior to commencement of employment.
UNDP is not in a position to provide advice or assistance on applying for US citizenship and therefore applicants are advised to seek the advice of competent immigration lawyers regarding any applications.
Applicant information about UNDP rosters
Note: UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.
Non-discrimination
UNDP has a zero-tolerance policy towards sexual exploitation and misconduct, sexual harassment, and abuse of authority. All selected candidates will, therefore, undergo rigorous reference and background checks, and will be expected to adhere to these standards and principles.
UNDP is an equal opportunity and inclusive employer that does not discriminate based on race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.
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