Artificial Intelligence Green Energy Engineer – IPSA 8

Job title:

Artificial Intelligence Green Energy Engineer – IPSA 8

Company:

United Nations Development Programme

Job description

3. Scope of WorkAs 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.CompetenciesCore
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 discriminationCross-Functional & Technical competencies (insert up to 7 competencies) Thematic Area Name Definition
Digital & Innovation Systems thinking & transformationUnderstand that complex problems need a nonreductionistic, holistic approach.Ability to explore challenges from multipleperspectives by zooming in and out, with a focus onrelationships and flows rather than individualelements; understand how certain dynamics andconditions are driving and influencing an issue.Ability to develop a collective understanding by amapping systems and their dynamics (e.g. flows or resources, information; power relations); is able tohandle ambiguity and can help others navigate it.Being able to identify intervention points to leveragechange and system transformation by setting out acoherent collection of multiple interventions to probethe system for desirable effects.Understand that change is non-linear andunpredictable; being comfortable and able to workwith emergence.
Digital & Innovation Data engineeringAbility in programming languages such as SQL,Python, and R, be adept at finding warehousingsolutions, and using ETL (Extract, Transfer, Load)tools, and understanding basic machine learning andalgorithmsInformation Management &Technology Data Management & AnalyticsKnowledge in data management, data sciences,ability to structure data, develop dashboard andvisualization. Design data warehouses, data lakes or

data platforms concepts. Familiarity with Machineleaning, natural language processing or generationand the use of artificial intelligence to supportpredictive analytics.2030 Agenda: PlanetNature, Climate and EnergyEnergy efficiency concepts, renewable energy, access to energy; technologiesand 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 systemRequired Skills and ExperienceMin. 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 CertificatesDisclaimerUnder 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.

Expected salary

Location

København

Job date

Wed, 14 Aug 2024 03:12:51 GMT

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