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Power System Operations and Grid Reliability Workshop Trainer

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UNVRemote
Türkiye10 Nov 2026Volunteer via UNV27 Oct 2026English

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Power System Operations and Grid Reliability Workshop Trainer — UNV

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Overview

Supporting UNDP's Istanbul International Center for Private Sector in Development and its Future Tech Leaders Syria programme, the online volunteer trainer develops the content for a Power System Operations and Grid Reliability workshop (up to three sessions), delivers it to engineering students and graduates, and prepares evaluation reports.

Keywords:

  • Power system
  • Grid reliability
  • Smart grid
  • Machine Learning (ML)
  • Workshop

Key details

Job ID
1784888021273484
Job type
Volunteer · Full-time
Function
Education, Training & Capacity Building · Engineering, Infrastructure & Technical Services
Sector
Energy & Natural Resources, Education & Learning

Skills & Tools

Job Description

Power System Operations & Grid Reliability Workshop Trainer

Attention! Please note that this is an Online Volunteering assignment. It's a short-term, task-based and non-contractual remote assignment; Online Volunteers are not UN Volunteers and do not receive any allowance or entitlements as part of the Online Volunteer assignment but receive a certificate of appreciation after successful completion. In addition, UNV is not involved in the selection process or collaboration.

Host entity: UNDP Istanbul International Center for Private Sector in Development

Advertisement end date: 2026-11-10T00:00:00

General

Description of assignment title: Power System Operations & Grid Reliability Workshop Trainer

Assignment country: Türkiye

Duration: 42 days

Sustainable Development Goal: 4. Quality education

Modality: Online

Work schedule: 11 - 15 hours per week

For how many hours per week will the volunteer be required?: 11 - 15 hours per week

Number of Assignments: 1

Details

Mission and objectives

Istanbul International Center for Private Sector in Development (IICPSD) supports the private sector and foundations to become transformative partners in development through research, advocacy for inclusive business, facilitation of public-private dialogue and brokering partnerships. IICPSD, established in 2011 in partnership with the Government of Turkey, is one of UNDP's six Global Policy Centres. It leads UNDP’s global work on private sector and foundations and supports UNDP’s offices all over the world. The Center focuses on four thematic areas:

  1. Inclusive Business;
  2. Private Sector Engagement in Skills Development;
  3. Impact investing;
  4. Resilience and Crisis Response.

The Center also hosts four global initiatives: Business Call to Action, SDG Philanthropy Platform, Global Islamic Finance and Impact Investing Platform and Connecting Business Initiative.

Context

UNDP ICPSD will implement the Future Tech Leaders (FTL) programme in Syria as a structured training initiative for final-year engineering students and recent graduates at Damascus University. The programme will build industry-relevant AI skills for climate applications through technical training, applied learning, and specialized tracks.

Participants will also engage in discipline-specific workshops to apply AI skills within engineering domains after the Bootcamp training. These include smart grid modelling for electrical engineering, AI-driven automation systems for computer engineering, and IoT-based climate monitoring systems for electronics and communications engineering.

The Online Volunteer will develop the content for Power System Operations and Grid Reliability Workshop (up to three sessions) and deliver this workshop to the FTL Syria beneficiaries.

Task type

Curriculum, training material development

Task description

We are recruiting 1 Online Volunteer to deliver the Power System Operations & Grid Reliability Workshop for the Future Tech Leaders Syria programme under the guidance of the team focal point.

The Online Volunteer will:

  • Develop and technical training materials, workshop content, presentations, exercises, assessments, and participant resources required for these workshops and related activities for Power System Operations and Grid Reliability Workshop.
  • Deliver the Power System Operations and Grid Reliability Workshop to the beneficiaries (up to three sessions).
  • Prepare the evaluation report and gather feedback for areas of improvement for these sessions
  • Prepare concise implementation evaluation reports summarizing all activities conducted, participation levels, key achievements, challenges encountered, and recommendations for future programme delivery.

Assignment requirements

Relevant experience: No experience required

Languages: English, Level: Fluent, Required; Arabic, Level: Fluent, Desirable; Turkish, Level: Working knowledge, Desirable

Required education level: Master's degree Electrical/Electrical & Electronics Engineering, Power Systems Engineering, Energy Engineering, or a closely related STEM field.

Area(s) of expertise: Climate change, environment, Education, Information technology and telecommunications

Driving license: -

Skills and experience

  • A minimum of 5 years (with Master's degree) or 7 years (with Bachelor's degree) of professional experience in power systems engineering, grid operations, energy systems modelling, or the application of AI/data-driven methods to the energy sector.
  • Demonstrated experience in power system modelling, simulation and analysis, including load flow, contingency and reliability analysis, using industry-standard tools (e.g. PSS®E, DIgSILENT PowerFactory, ETAP, MATLAB/Simulink, or open-source equivalents such as PyPSA or PandaPower).[V6.1]
  • Proven experience in smart grid technologies, including renewable and distributed energy resource integration, grid monitoring and control systems, and grid resilience or climate stress-testing studies.
  • Practical experience in applying AI/machine learning methods to power and energy applications, such as load and renewable generation forecasting, fault detection and diagnosis, predictive maintenance, or AI-driven automation and control of energy systems.
  • Working knowledge of Python and open-source scientific libraries (e.g. NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch) for energy data analysis and modelling.
  • Previous experience working with UN/UNDP or other international development organizations is an advantage.
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