Job Description

The Agrometeorology Associate - Technical Implementation Cell will work under the overall guidance and supervision of the Director, MNCFC. The Agrometeorology Associate will be responsible for all development and maintenance activities of desktop and web applications related to PMFBY, in addition to creating a visualization and analysis platform for a wide range of data.Ensure Data Analysis and Implementation of Technology Solutions

• Analysing, pre-processing, and preparing reports on weather data, weather forecasting, hydrometeorology and application of weather information system on Agriculture, disaster risk management and climatic risk reduction and mitigation.
• Ground truth data collection, supervision and monitoring collection and dissemination of weather data from AWS/ARGs, validation of data loggers and standard specifications of siting and sensors of AWS/ARGs.
• Generation of weather data surfaces through interpolation
• Comparison of multi-source weather datasets and develop techniques for bias correction.

Research & Development and Knowledge Management

• Weather data analytics, weather forecasting, agrometeorology based advisories, agriculture risk propensity mapping of areas, weather parametric solutions for climatic risk and agriculture risk protection.
• Prepare report on weather data discrepancies, periodic weather forecasting, periodic hydro-meteorology reports, agro-advisories etc.

Support in Training, Capacity Building and Partnerships

• Provide inputs to training on the application of weather data, weather forecasting and hydrometeorology and mobile technology for weather information dissemination as and when required and necessary.
• Foster partnerships with key National, State government departments, State Remote Sensing Application Centre and relevant technical institutions on technology solution for Weather data collation and analysis, forecasting and agriculture risk advisories.

Provision of effective project support

• Provide timely inputs for the timely submission of all progress reports and presentations as may be required.

Perform any other tasks consistent with the level of the post and/ or assigned by the Remote Sensing & Geo-Spatial Specialist and Remote Sensing Tech. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.CompetenciesCore competencies:

• 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:Digital & Innovation

• Geospatial analysis: Skilled in techniques which study entities using their topological, geometric, or geographic properties
• Data collection: Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g., mobile data, satellite data, sensor data).
• 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.
• Data governance: Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies.

Business Management

• Monitoring: Ability to provide managers and key stakeholders with regular feedback on the consistency or discrepancy between planned and actual activities and programme performance and results
• Evaluation: Ability to make an independent judgement based on set criteria and benchmarks - Ability to anticipate client\'s upcoming needs and concerns

Information Management & Technology

• IT Research and Development: Regular following new technologies and technical trends, research the technologies that are applicable and beneficial to the organization and develop the systems

Required Skills and ExperienceEducation:

• Secondary education is required.
• A University (Bachelor\'s) degree in Agrometeorology/ Meteorology/ Agriculture Physics/ Agronomy/ from a recognized university or related field will be given due consideration. but it is not a requirement.

Experience:

• Minimum of 7 years (with High school diploma) or 4 years (with bachelor\'s degree) of relevant demonstrable experience at the national or international level in large weather data handling / weather data quality control / long term weather data analysis/spatial data analysis is required.
• At least 4 years of expertise in GIS based analysis using weather and various other dataset.
• Proficiency in computer programming for handling large weather data/weather-based risk analysis/assessment of crop/yield losses due to extreme weather events
• Experience in project Management practices and ability to formulate and manage budgets,
• Experience and broad-based knowledge across cross cutting thematic areas such climate risk management.
• Prior experience in strategic planning, result - based management and reporting.
• Proficiency in Microsoft Office Suite
• Hands-on experience in design, formulation, implementation, monitoring and evaluation of projects,
• Demonstrated ability to guide the Project Management Unit in implementing and achieving project outcomes
• At least 2 years of demonstrable experience in relevant role with government project related to weather data analysis (spatial/gridded and station data) / Crop Yield Modelling.
• Working experience in computer language Python, Esri\'s ArcGIS and associated extensions, and ERDAS IMAGINE; knowledge of other GIS and remote sensing software such as ENVI, QGIS, SNAP, GRASS, R computer language R etc.,
• In-depth knowledge and experience of weather data analysis/Quality control, Remote Sensing and GIS application in Agriculture/Forestry/Agro-Forestry and related field.
• Experience in crop loss modelling or agricultural statistics.
• Demonstrated ability to lead consultative meeting and provide training at National and state level with partners and senior stakeholders to identify priorities and manage the timely delivery of project activities.
• Experience of working with Central and/or State Governments/ National/ International / Public private agencies/on similar assignments

Language Requirement:

• Fluency in oral and writing skills in English and Hindi is required.

DisclaimerUnder 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.

United Nations Development Programme