8 Remote Sensing Jobs nearby Mysore

As a Signal Processing Intern at GalaxEye Space, you will be involved in developing advanced Digital Signal Processing (DSP) algorithms that convert raw radar signals into high-resolution satellite images. This role offers you the chance to explore the intriguing realm of spaceborne radar systems and actively contribute to genuine satellite missions. Key Responsibilities: - Implement and enhance core SAR focusing algorithms. - Investigate sub-aperture and spotlight imaging techniques for superior image precision. - Create motion compensation and phase correction methods to improve image quality. - Utilize simulation tools to produce synthetic SAR data for testing and validation. - Assess image quality using professional metrics like IRF, PSLR, etc. - Optimize algorithms for computational efficiency on flight and ground systems. - Thoroughly document all technical work, including derivations, code specifics, and performance analysis. Requirements: - Currently pursuing a Bachelors, Masters, or Ph.D. in Electrical Engineering, Computer Science, Physics, or a related field. - Solid grasp of Digital Signal Processing (DSP), Linear Algebra, and Fourier Analysis. - Proficiency in Python, particularly NumPy and SciPy. - Demonstrates curiosity, self-motivation, and a keen interest in SAR systems. Preferred Skills (Nice to Have): - Familiarity with radar systems or microwave theory. - Exposure to GPU programming, parallel computing, or optimization. - Experience in image formation, reconstruction, or remote sensing calibration. At GalaxEye Space, you will have the opportunity to work with authentic space mission data that directly impacts image resolution and quality. You will also benefit from mentorship provided by experienced signal processing and SAR experts, exposure to multi-sensor fusion (SAR + MSI), and a dynamic startup culture that prioritizes innovation and curiosity. Additionally, you will have the chance to contribute to cutting-edge radar imaging technology.,

As a Senior BI Developer at Universal Electronics Inc. (UEI), you will be part of a world-class team dedicated to innovating and revolutionizing wireless control technology. UEI continuously reinvents how consumers interact with devices and services in their homes, making the connected home smarter, easier to use, and more sustainable. Fortune 100 customers such as Comcast, Apple, Samsung, Google, Vivint, and Daikin are delighted with groundbreaking wireless technology solutions provided by UEI, including advanced, voice-enabled remote controls, cloud control solutions, low-power Bluetooth silicon with energy harvesting capabilities, smart thermostats, sensors, and various other IoT solutions. **Responsibilities:** - Formulate automated reports and dashboards using Power BI and other reporting tools. - Understand business requirements to set functional specifications for reporting applications. - Familiarity with SSRS, TSQL, Power Query, Power BI, and other tools in the MS SQL Server BI Stack. - Design data models to transform raw data into insightful knowledge. - Develop technical specifications based on business needs. - Create charts, data documentation, and insightful dashboards using Power BI. - Experience in migrating OBIEE/OAC reports to Power BI. - Establish row-level security on data and comprehend Power BI's security layer models. - Design and map data models for insightful information transformation. - Develop dynamic dashboards and reports using Power BI. - Optimize Power BI solutions and databases for performance. - Ensure Business Intelligence services meet required service support levels. - Support SOX compliance requirements related to auditable applications. - Some international travel may be required to support global business needs. **Requirements:** - BE/B-Tech / ME/ MTech in CSE or MCA. - 10+ years of experience in Power BI and ETL with migration experience from OAC/OAS/OBIEE. - Strong expertise in data import, data modeling, KPI implementation, data transformation. - Good understanding of Oracle EBS R12 data model. - Experience in designing interactive dashboards, custom visuals, and scorecards. - Strong understanding of Data Warehouse principles. - Expertise in designing reports with multiple data sources and databases. - Experience with Oracle SQL Developer and strong SQL understanding. - Experience in the manufacturing industry is a plus. - Strong team player with excellent communication and problem-solving skills. Universal Electronics Inc. (NASDAQ: UEIC) is the worldwide leader in universal control and sensing technologies for the smart home. UEI values diversity in its workforce and believes that having diverse teams contributes to its success. The company designs, develops, and manufactures products used by leading brands in various markets, including audio, video, home security, and mobile devices. UEI's innovative solutions have transformed industries such as home entertainment control, home security, and home energy management.,

As a GIS Analyst at our company, you will be responsible for conducting advanced spatial analyses and delivering high-quality insights to support research and inform policy. You will work with GIS, programming, and remote sensing to address complex research questions and project objectives. **Key Responsibilities:** - Conduct in-depth spatial analyses to support project objectives and address complex research questions. - Manage and process large, complex datasets using GIS software and platforms such as Google Earth Engine, ArcGIS Pro, and QGIS. - Design, implement, and refine research methodologies for GIS projects to ensure scientific rigor and reproducibility. - Develop visually compelling maps, dashboards, and data visualizations for reports, presentations, and interactive applications. - Collaborate with multidisciplinary teams of researchers and policy experts to integrate geospatial insights into broader research initiatives. - Contribute to and co-author research reports, policy briefs, and peer-reviewed publications. - Maintain precise documentation of data sources, methodologies, and analytical workflows. **Qualifications:** - Masters degree in Geography, GIS, Environmental Science, Data Science, or a related field with at least 2 years of relevant professional experience, OR a Bachelors degree with a minimum of 4 years of experience. - Demonstrated experience in conducting spatial analyses and managing GIS projects from conception through completion. (Note: Additional Details section has been omitted as it does not contain any specific details related to the job description),

You will be contributing to the development of high-performance image processing pipelines for satellite optical sensors at KaleidEO, a company shaping the future of Earth Observation and putting Indian space tech on the global map. **Roles and Responsibilities:** - Assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification. - Design and implement efficient image processing pipelines for satellite optical sensor data. - Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery. - Develop solutions for cloud-based processing to handle large-scale satellite data efficiently. - Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks. - Work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems. - Participate in quality assurance practices to ensure high-quality image products. - Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders. **Qualifications:** - Bachelors or Masters degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field. - Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data. **Must-Have:** - Proficiency in image processing and computer vision algorithms. - Strong programming skills in Python, with experience using libraries like OpenCV, GDAL. - Understanding of satellite optical sensors and their processing challenges. **Good to Have:** - Experience with machine learning techniques for image analysis. - Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS). If you join KaleidEO, you will enjoy benefits such as: - Medical Health Cover for you and your family including unlimited online doctor consultations. - Maternity, Paternity, Marriage, and Bereavement Leave. - Opportunity to participate in international events and conferences. - Access to mental health experts for you and your family. - Dedicated allowances for learning and skill development. - Twice a year appraisal. The interview process includes a Coding Round, Introductory call, 2 Panel Interview rounds, and a Culture Round/HR round. The company is looking to fill 2 positions, and the expected month of joining is May 2025.,

As a Geospatial Analyst, your role will involve processing and analyzing geospatial data for various projects such as mining, construction, urban planning, and renewable energy. You will be required to integrate geospatial datasets with image analytics pipelines, develop visualizations using maps and 3D models, and utilize satellite, drone, LiDAR, and GIS data to derive actionable insights. Key Responsibilities: - Process and analyze geospatial data related to mining, construction, urban planning, and renewable energy projects. - Integrate geospatial datasets with the image analytics pipeline. - Develop geospatial visualizations and insights using maps and 3D models. - Work with satellite, drone, LiDAR, and GIS data to generate actionable insights. Qualifications Required: - Proficiency in Geographic Information Systems (GIS) software such as ArcGIS, QGIS, or similar tools. - Knowledge of spatial data formats like GeoJSON, Shapefiles, KML, etc. - Expertise in remote sensing and photogrammetry for image processing. - Programming skills in Python or R with geospatial libraries (e.g., GeoPandas, Shapely, GDAL, Rasterio). - Experience with Azure services for geospatial data including Azure Maps for geospatial analytics and Azure Data Lake for storing large geospatial datasets. - Strong mathematical and statistical skills for spatial analysis. - Familiarity with drone and satellite imagery processing pipelines. - Knowledge of renewable energy project requirements such as wind turbine siting and solar panel layouts.,

As an ArcGIS Expert at Fospe Software, your role will involve developing, managing, and maintaining GIS databases and geospatial content. You will be responsible for performing advanced spatial analysis to generate actionable insights. Using ArcGIS Pro and ArcGIS Online, you will build dynamic maps, dashboards, and visualizations. Additionally, you will automate processes using tools like ModelBuilder or Python (ArcPy) and integrate GIS data with other systems and APIs. Your expertise will support teams in making spatial decisions for ongoing software projects. Key Responsibilities: - Develop, manage, and maintain GIS databases and geospatial content - Perform advanced spatial analysis and generate actionable insights - Build dynamic maps, dashboards, and visualizations using ArcGIS Pro and ArcGIS Online - Automate processes using ModelBuilder or Python (ArcPy) - Integrate GIS data with other systems and APIs - Support teams with spatial decision-making in ongoing software projects Qualifications Required: - Any Bachelors Degree - Minimum 3 years of hands-on experience in ArcGIS Desktop / ArcGIS Pro / ArcGIS Online - Experience in geospatial mapping and spatial data analysis - Strong working knowledge in geodatabases, shapefiles, layer management, map projections - Familiarity with geo-data visualization and dashboard creation - Added Advantage: Experience with Python (ArcPy), QGIS, PostGIS, Remote Sensing Joining Fospe Software offers you a competitive salary based on experience, hybrid work flexibility with an office in Bangalore, the opportunity to work on diverse real-world GIS projects, and a collaborative and innovation-driven environment. You will also have growth opportunities in the tech and geospatial domains.,

As a DSP Engineer at our company, you will be an integral part of the Signal Processing team, focusing on researching, designing, and developing novel SAR processing algorithms to enhance our core capabilities in transforming raw signals into refined data products. Your responsibilities will include: - Algorithm Research & Development: - Develop and refine advanced radar signal processing algorithms such as SAR image formation, MIMO radar techniques, clutter suppression, and interference mitigation. - Modeling and Simulation: - Create and utilize sophisticated simulations to model SAR sensor performance, validate algorithm concepts, and predict system behavior. - Prototyping and Implementation: - Rapidly prototype and implement new algorithms using Python and/or C++ for evaluation and integration into production pipelines. - Collaboration: - Work closely with hardware engineering, mission operations, and data product teams to understand sensor characteristics, mission requirements, and downstream product needs. - Documentation: - Prepare comprehensive technical documentation including algorithm specifications, design documents, and research findings. - Innovation: - Stay updated on the latest SAR signal processing and remote sensing advances, proposing innovative solutions to complex challenges. Qualifications required for this role include: - Education: - Bachelors, Masters, or Ph.D. in Electrical Engineering, Signal Processing, Remote Sensing, Physics, or related field. - Experience: - 2+ years of hands-on experience in Digital Signal Processing, especially with SAR systems and algorithms, or 2+ years in radar signal processing. - DSP Fundamentals: - Strong theoretical background in digital signal processing topics including Fourier transforms, filter design, sampling theory, statistical signal processing, random processes, and estimation theory. - Programming Skills: - Proficiency in at least one of the following: - Python: Experience with NumPy, SciPy, scikit-image, Dask, or similar libraries. - C++: For high-performance computing and algorithm testing. - Analytical Skills: - Excellent problem-solving skills and strong analytical mindset. - Communication: - Strong verbal and written communication skills, capable of clearly explaining complex technical concepts. In addition to the above, you can look forward to the following benefits: - Competitive compensation - Health insurance - Flexible work environment - Opportunity to shape next-generation space data products - High-growth, innovation-driven culture,

You will be working as an Assistant Consultant at WSP, supporting the UK-wide national ecology team by contributing to ecological data analysis, reporting, and project delivery. This role, based in either Noida or Bengaluru, offers an exciting opportunity to collaborate with UK-based ecologists and enhance technical capabilities within the global ecology business. **Key Responsibilities:** - Assist in habitat loss/gain calculations, Biodiversity Net Gain (BNG) assessments, and ecological impact evaluations. - Support the use of digital tools (e.g., GIS, remote sensing, data visualization) to improve ecological deliverables. - Contribute to the development of habitat mitigation and compensation plans under UK legislation. - Prepare and review ecological reports such as Preliminary Ecological Appraisals (PEA), BNG assessments, and Nature Conservation (NC) reports. - Participate in internal knowledge sharing and collaborate with global ecology colleagues. - Support proposal writing and other business development activities. **Qualifications:** - Masters degree or higher in Ecology, Environmental Science, Conservation Biology, or a related discipline. - Having appropriate qualification from relevant UK institutions is an advantage. **About WSP:** WSP is one of the world's leading professional services consulting firms, dedicated to local communities and driven by international expertise. With a global presence and a focus on engineering projects in various sectors, WSP values innovation and sustainability in their work. At WSP, you can access global scale, contribute to landmark projects, and connect with bright minds in your field. A culture that celebrates new ideas, diverse perspectives, and a world of opportunities awaits you as you shape a unique career with WSP. **Health, Safety, and Wellbeing:** Safety and wellbeing are integral to WSP's culture, with a focus on fostering a safe work environment through initiatives like Making Health and Safety Personal. The Zero Harm Vision drives efforts to reduce risks and prioritize global health and safety practices. Join WSP's close-knit community of talented professionals dedicated to making a positive impact. Apply today to be part of a team that envisions a better future for all.,

As an Operations Associate at DATAPKT Private Limited, you will play a key role in supporting project initiation, planning, execution, and delivery across GIS and drone survey assignments. Your responsibilities will include: - Supporting project initiation, planning, execution, and delivery across GIS and drone survey assignments. - Monitoring daily progress and milestones through updates from team leads. - Maintaining project schedules, documentation, and resource tracking. - Coordinating with internal teams - field, processing, and technical - for timely project execution. - Reviewing field progress reports to ensure compliance with operational and data quality standards. - Identifying potential risks or delays and taking corrective action. - Assisting in QA/QC coordination and final deliverable validation. - Preparing periodic progress and status reports for management and clients. - Tracking operational expenses and assisting with cost control documentation. - Contributing to process improvements, operational efficiency, and project growth initiatives. What we're looking for in an ideal candidate: - 0-2 years of experience in operations or field coordination (freshers welcome). - Excellent communication & coordination skills. - Strong organizational skills and attention to detail. - Basic knowledge of MS Excel and documentation tools. - Knowledge in GIS and Remote Sensing Software including ESRI ArcGIS Suite, QGIS, AutoCAD/Civil 3D, DGPS/GNSS Survey Tools, Total Station data handling, Drone Survey Processing Software such as Pix4D and Agisoft Metashape, and Satellite imagery analysis. Joining DATAPKT Private Limited will offer you the opportunity to work on cutting-edge drone technology and real-world infrastructure projects, be part of a dynamic and supportive team, and gain hands-on experience with project execution and field operations. If you are interested in this exciting opportunity, apply now at hr@datapkt.com with the subject line "Operations Associate".,

**Job Description** **Role Overview:** Join a short-term research internship focusing on analyzing large-scale and spatial datasets to provide insights for governance and development decisions. This role will involve a combination of data science, policy research, and geospatial analytics. **Key Responsibilities:** - Work with large datasets such as surveys, administrative data, or satellite/remote sensing data - Utilize programming skills in Python, R, SQL, and GIS tools like QGIS, ArcGIS, or GEE - Clean, merge, and visualize data from multiple sources - Apply strong analytical skills with a focus on data quality and reproducibility - Explore spatial econometrics, machine learning, or geospatial analytics - Gain experience in remote sensing, raster analysis, or night-lights data - Familiarize yourself with data visualization tools such as Tableau, Power BI, Plotly, etc. **Qualifications Required:** - Currently pursuing or holding a Masters, M.Phil., or Ph.D. from a reputed institution - Background in Economics, Statistics, Computer Science, Geography, Urban Planning, Public Policy, Environmental Studies, or related quantitative fields - Proficiency in handling large datasets and programming languages/tools mentioned above - Strong analytical mindset and attention to detail - Exposure or interest in spatial analysis and related fields **Additional Details:** You will enjoy flexible work hours and location, a mix of independent work and collaboration with senior researchers, and the opportunity to contribute to high-impact research and publications.,

As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skills:** - Strong analytical and problem-solving abilities. - Excellent communication skills, both written and verbal. - Ability to work independently and collaboratively in a team environment. - Attention to detail and commitment to high-quality deliverables. **Preferred Qualifications:** - Experience with machine learning techniques applied to geospatial data. - Knowledge of API integration and data fetching. - Experience with object detection algorithms. - Understanding of spatial databases (e.g., PostGIS). - 3-5 years of experience in data science, machine learning, and deep learning. - Strong expertise in ML, DL, and NLP. - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Experience with NLP libraries (NLTK, spaCy). If you are passionate about geospatial data analysis, have a strong educational background, hands-on experience, and the required skills, we encourage you to apply for this exciting opportunity at Garudalytics. The company is located in Hyderabad, and the position is full-time within the Data Science department. To apply, please submit your resume and cover letter to hr@garudalytics.com. *Note: Benefits include health insurance, provident fund, morning shift, performance bonus, and the ability to commute/relocate to Kukatpally, Hyderabad, Telangana. The application deadline is 07/06/2025, and the expected start date is 20/06/2025.* As a Geospatial Data Scientist at Garudalytics, you will be responsible for leveraging your expertise in GIS and remote sensing to process and analyze geospatial data using Python and various GIS tools. Your role will involve developing and deploying machine learning and deep learning models, designing NLP solutions, analyzing complex data sets, collaborating with cross-functional teams, mentoring junior team members, and interpreting geospatial data from multiple sources. Additionally, you will develop algorithms for data processing and visualization, utilize ArcGIS and QGIS for spatial analysis, and generate APIs for efficient data management. **Key Responsibilities:** - Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. - Collaborate with cross-functional teams. - Mentor junior team members. - Analyse and interpret geospatial data from multiple sources. - Develop and implement algorithms for data processing, analysis, and visualization using Python. - Utilize ArcGIS and QGIS for spatial analysis and mapping. - Generate APIs to fetch and manage geospatial data efficiently. - Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. - Conduct research and apply best practices in remote sensing and geospatial analysis. - Present findings and insights to stakeholders through reports and visualizations. **Qualifications:** - Education: Masters degree in Geoinformatics or GIS. - Experience: Minimum 2 years of experience in geospatial data analysis or related field. - Hands-on experience with Python for geospatial data manipulation and analysis. - Proficiency in ArcGIS and QGIS. - Familiarity with API development and data fetching. **Skill

You will be responsible for digitization, editing, and spatial data analysis, including capturing on-ground information, performing various analyses on satellite data, and creating and maintaining GIS databases. You should have expertise in GIS and remote sensing software, as well as knowledge of GIS data collection and quantitative and qualitative data analysis. Additionally, you should demonstrate a keen understanding of spatial data and algorithms. Knowledge of crop mapping using remote sensing techniques would be an added advantage. Your role will involve performing image processing techniques like image classification and GIS analysis to derive meaningful information and results as per project requirements. Collaborating with colleagues to ensure maps are accurate and stable according to regional standards will also be part of your responsibilities. You will need good communication skills to prepare regular status reports, highlight urgent matters, create maps, write reports, and document procedures. Qualifications Required: - Bachelor's/Masters in Geomatics, remote sensing, GIS, agriculture, geography, or earth science - 0 to 5 years of experience in core GIS/Remote sensing projects - Hands-on experience with MS Office Please note that the above job description does not include any additional details about the company.,

Role Overview: As a Satellite Imagery Analyst, you will be responsible for acquiring, preprocessing, and analyzing satellite imagery utilizing open-source datasets such as Sentinel, Landsat, MODIS, DEM, among others. Your role will involve efficiently processing and managing large-scale geospatial catalogs. You will conduct vegetation, water stress, and land cover analysis by employing various indices like NDVI, NDWI, EVI, SAVI, and thermal bands. Key Responsibilities: - Utilize AI/ML algorithms to perform classification, segmentation, anomaly detection, and time-series pattern recognition on both raster and vector data. - Apply spatial analysis techniques to estimate biomass, carbon storage, forest loss, and environmental footprints. - Detect and map tree cover, land use change, water bodies, and burn scars using multispectral and temporal satellite imagery. - Implement pest/disease detection frameworks through image analysis and pattern matching techniques. - Translate raw satellite data into decision-support insights using GIS tools and visual dashboards. Qualifications Required: - Bachelor's degree in Geography, Remote Sensing, Geoinformatics, or a related field. - Proficiency in utilizing open-source satellite imagery datasets like Sentinel, Landsat, and MODIS. - Experience with indices such as NDVI, NDWI, EVI, SAVI, and thermal bands for geospatial analysis. - Strong knowledge of AI/ML algorithms for image analysis and pattern recognition. - Familiarity with GIS tools for translating satellite data into actionable insights. (Note: No additional details of the company were provided in the job description.),

As a Senior Technical Projects Lead at Varahas, you will play a crucial role in owning and driving the preparation of client-ready technical documents, due-diligence responses, and funding proposals. Your responsibility will be to ensure that Varahas" technical expertise is effectively communicated to stakeholders such as investors, auditors, standard bodies, and grant-makers. **Roles and Responsibilities:** - Receive and classify client questionnaires and proposal requests, identifying immediate answers, expert input requirements, and new documentation needs. - Draft precise technical responses with clear sources, assumptions, and limitations. - Create missing appendices, standard operating procedures, diagrams, and data summaries. - Coordinate inputs across teams, set timelines, and drive review and approval processes. - Maintain a structured answer library and a repository of client-ready documents, ensuring consistency in language and facts. - Lead or support grant applications, aligning writing with reviewer criteria and commercial goals. - Guide the commercial team on accurately presenting technical content. **Qualifications:** - Based in Europe or India, willing to travel to India and project sites when necessary. - 5 to 10 years of experience in smallholder regenerative agriculture and/or agroforestry in Africa or Asia. - Proven track record in technical writing for due-diligence processes, project design documents, monitoring reports, or proposal responses with provided writing samples. - Successful experience in grant writing or proposal leadership with measurable funding results. - Strong understanding of nature-based carbon projects, including baselines, additionality, permanence, leakage, and risk buffers. - Working knowledge of soil carbon and biomass measurement, monitoring, reporting, verification, and sampling design. - Ability to interpret agronomy data and remote-sensing outputs into concise, defensible claims. - Sound business judgment, presenting benefits, costs, and risks accurately. - Reliable process habits with structured intake, targeted requests to experts, careful citation, and disciplined document management. - Excellent written English skills. **Preferred:** - Experience with Verra, Gold Standard, or Plan Vivo, including auditor interactions. - Experience in writing standard operating procedures for field protocols, quality assurance, and quality control. - Familiarity with working in India. Join Varahas and enjoy a competitive salary, ESOPs policy, a key role in shaping a fast-growing climate tech startup, support for professional development, and a culture of undogmatic, unbureaucratic creativity and collaboration.,

As a candidate for the role at ENGIE, you will be responsible for preparing and reviewing Energy Yield Assessment (EYA) reports. Your key responsibilities will include: - Conducting pre-feasibility studies and site assessments to determine suitable met-mast locations for wind energy projects. - Designing and developing wind farm layouts, taking into account factors such as wind patterns, terrain, and environmental impact. - Analyzing raw wind data, including wind speed and direction, to assess the potential power generation of wind energy systems. - Supporting new unit and service proposals through Wind Resource Assessment (WRA), Annual Energy Production (AEP) assessments, noise propagation assessments, and developing enhancement options. - Contributing to the improvement of WRA methods in terms of speed, productivity, and accuracy. - Collecting and analyzing wind data from various sources like meteorological towers, remote sensing devices, and historical weather data. - Ensuring the accuracy and quality of wind data through data cleansing and validation. - Developing site-specific wind turbine layouts and configurations. - Conducting complex engineering analyses to evaluate wind resources at potential project sites. - Delivering comprehensive reports and presentations to aid decision-making and project development. - Preparing Standard Operating Procedures (SOPs), technical documentation, including reports and manuals. You will be part of the GBU Renewables & Flexible Power business unit in the REN AMEA - India division of ENGIE Energy India Private Limited. The ideal candidate for this position should have more than 3 years but less than 15 years of relevant experience along with a technical qualification. ENGIE is an equal opportunity employer that is dedicated to creating a diverse and inclusive workplace. Reasonable accommodations can be provided upon request for individuals with disabilities.,

As an enthusiastic individual passionate about the ocean and its interactions with the atmosphere, you have the opportunity to join a cutting-edge research team focusing on coastal processes, ocean waves, ocean-atmosphere interactions, and climate-driven extreme events along the Indian coastline. **Key Responsibilities:** - Conduct research on physical oceanography, marine science, and atmospheric science. - Explore coastal processes and ocean-atmosphere interactions. - Work on real-world problems impacting coastal communities. - Utilize numerical modeling, remote sensing, and data-driven climate research techniques. **Qualifications Required:** - Hold an M.Sc. in Physical Oceanography, Marine Science, Oceanography with a specialization in Physical Oceanography, Meteorology, Atmospheric Science, or a related field. - NET or GATE qualification is desirable. In the absence of suitable NET/GATE-qualified candidates, applicants without these qualifications will also be considered for the same position, with emoluments as per institutional norms. If you join this team, you can benefit from mentorship provided by experienced researchers, collaboration across interdisciplinary projects, and a stimulating environment that fosters innovation and scientific growth. To apply for this exciting research opportunity in physical oceanography, visit our Institute website at [https://www.nio.res.in/vacancies/temporary](https://www.nio.res.in/vacancies/temporary). Join us in advancing the science of the seas, where every wave tells a story!,

As a Town and Country Planning Coordinator, your role will involve coordinating with consultants to oversee field surveys, methodologies, timelines, and mapping requirements. You will be responsible for conducting thorough quality checks and reviews of all project deliverables submitted by consultants at each stage of completion. Your expertise in Urban Planning, Geo-informatics, GIS, Remote Sensing, or related fields will be crucial for the preparation of land use maps, spatial analysis, georeferencing cadastral maps, and overlay of Field Measurement Book (FMB) onto cadastral maps using GIS software. In addition, your understanding of urban planning principles and the preparation of Master Plans will be essential for the development and refinement of universal guiding documents and toolkits for Master Plan preparation and implementation. Furthermore, you will be required to collect and organize existing design and utility service details for project reference. Key Responsibilities: - Coordinate with consultants for field surveys, methodologies, timelines, and mapping requirements - Conduct quality checks and reviews of project deliverables - Prepare land use maps, spatial analysis, and georeference cadastral maps using GIS software - Develop guiding documents and toolkits for Master Plan preparation - Organize design and utility service details for project reference Qualifications Required: - Master's degree in Urban Planning, Geo-informatics, GIS, Remote Sensing, or related field - Knowledge and experience in spatial analysis and GIS software - Familiarity with urban planning principles and Master Plan preparation - Strong attention to detail and ability to conduct thorough quality checks Please note that this is a full-time position with a day shift schedule and the opportunity for a yearly bonus. The work location is in person.,

Role Overview: You will be joining the AnthroKrishi team at Google DeepMind as a Research Scientist, where you will be developing cutting-edge AI solutions to tackle global issues related to food security and climate change. Your work will involve pushing the boundaries of computer vision and machine learning to directly impact agricultural systems on a global scale. Key Responsibilities: - Pioneering innovative computer vision models to create a comprehensive understanding of agriculture using diverse satellite data sources. - Addressing core AI challenges by developing adaptable models that can effectively analyze various agricultural systems, ranging from smallholder farms to large industrial fields. - Leading research efforts towards the significant goal of field-level crop yield forecasting, which includes enhancing spatio-temporal reasoning and learning from limited or sparse data effectively. - Conducting large-scale experiments, writing high-quality, reusable code (preferably JAX), and contributing to the development of a production-ready system. - Mentoring junior researchers, collaborating with multidisciplinary teams within Google, and presenting your work at prominent conferences. Qualifications Required: - PhD or equivalent practical research experience in Computer Science, AI, or a related field with expertise in computer vision and/or machine learning. - Proven track record of publications in top-tier AI conferences like NeurIPS, CVPR, ICCV, ICLR. - Hands-on experience in building and training deep learning models using frameworks such as JAX, TensorFlow, or PyTorch. Additional Company Details: The AnthroKrishi team at Google DeepMind is dedicated to creating a digital understanding of global agriculture to ensure a sustainable and food-secure future. By leveraging AI models that operate at a planetary scale and transform satellite data into actionable insights, the team aims to support farmers, policymakers, and humanitarian organizations worldwide. Join this team to contribute to solving fundamental AI challenges and address critical global needs.,

Roles & Responsibilities: Design, develop, and maintain GIS applications and tools. Work with spatial databases and integrate GIS solutions with enterprise systems. Perform spatial analysis, data modeling, and geoprocessing tasks. Develop web-based GIS applications using frameworks like OpenLayers, Leaflet, or ArcGIS API for JavaScript. Customize and automate workflows using Python, JavaScript, or other scripting languages. Manage and optimize geospatial data in databases such as PostGIS, SQL Server, or Oracle Spatial. Collaborate with cross-functional teams to deliver GIS solutions for business needs. Required Skills: Strong knowledge of GIS concepts and geospatial technologies. Hands-on experience with ArcGIS, QGIS, GeoServer, or similar platforms. Proficiency in Python, JavaScript, and web development for GIS. Experience with spatial databases and SQL. Familiarity with remote sensing, cartography, and spatial analysis. Good understanding of REST APIs and integration with GIS services.

As a candidate for this role, you will be required to have a Post Graduate/Degree/Diploma in Engineering/Science with a specialization in GIS, RS. Your domain expertise should include GIS, Remote Sensing, and Image Processing. Key skills that are essential for this position are proficiency in AutoCAD for QC work and a strong foundation in GIS knowledge. Your experience level should ideally be between 1 to 3 years in the related field. Please note that no additional details about the company are provided in the job description.,