Location:

Copenhagen, Denmark
Salary:

negotiable / YEAR
Job type:

CONTRACTOR
Posted:

2 months ago
Category:

Engineering, Environment and Natural Resources, Information and Communication Technology, Innovation and Knowledge Management, Research and Data
Deadline:

26/08/2024

JOB DESCRIPTION

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. Advertisement 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, Advertisement 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 Advertisement 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.