3 Frequency Analysis Jobs

As a Climate Risk & Resilience Services Analyst, you will be responsible for: - Working on the development and application of technical workflows for analyzing environmental data, including downscaled climate model output, to develop climate projections for various weather phenomena such as precipitation, temperature, and snow. - Leveraging tools and analysis methods to identify and address challenges in climate datasets. - Supporting quantitative analysis of exposure, vulnerability, risks, and resilience related to long-term climate change considerations for clients like municipalities and infrastructure agencies. - Preparing documentation summarizing methodologies and results for both technical and lay audiences. - Participating in multiple projects, ensuring effective coordination with internal colleagues, external resources, agencies, and consulting team partners. - Contributing to a diverse team of experts to advance the Climate Risk & Resilience Services practice through data-driven analysis and decision-making. - Participating in quality control operations of the climate analysis sections of projects and contributing to defining best practices for consistency and scientific robustness in climate change risk assessment processes. - Contributing to research and development initiatives to build innovative practices in the field of climate change risk and resilience. - Collaborating with national business lines within WSP, focusing on advisory services related to climate science, climate risks, and adaptation planning. Qualifications: - Undergraduate or graduate degree in data science, hydrology, meteorology, atmospheric science, climate science, environmental engineering, or a related field. - Strong computer skills, including programming skills (e.g., Python) and data management and processing skills related to model output (e.g., familiarity with NETCDF file formats). - Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects. - Experience working with tools and coding scripts for effective data processing, analysis, and visualization. - Strong statistics background with experience in statistical methods for meteorological data infilling and trend analysis. - Experience with high-performance computing (HPC) and parallel processing in cloud environments (e.g., AWS, Google Cloud, Azure). - Experience with climate change models and data portals, preferably with experience in statistical and dynamical downscaling. - Experience with AI and machine learning would be an asset. - Understanding of frequency analysis of extreme climate events, quantifying and correcting statistical bias in climate datasets, hazard modeling approaches using climate data, climate-related vulnerability and risk assessments, and effective communication of technical analysis and results to non-technical audiences. - Attention to detail, commitment to quality reviews, accuracy, and excellence, ability to innovate on challenging topics, and experience working independently and on remote collaborations. Omitting any additional details of the company mentioned in the Job Description.,

Department: Refrigerator R&D / Acoustic & Thermal Engineering Reporting To: Refrigerator Head R&D Job Type: Full-Time Job Summary: We are looking for a technically proficient engineer with experience in noise reduction and thermal insulation technologies for refrigerators. The candidate will contribute to the design, testing, and optimization of acoustic and insulation systems to enhance product performance, user comfort, and energy efficiency. Key Responsibilities: Acoustic Engineering: Analyze and reduce noise sources from compressors, fan motors, and structural vibrations. Conduct sound level measurements and frequency analysis using acoustic testing equipment. Collaborate with design teams to implement noise-dampening materials and structural modifications. Insulation Systems: Evaluate and optimize insulation materials (PU foam, vacuum panels, etc.) for thermal efficiency. Support development of insulation layouts to minimize heat transfer and improve energy ratings. Work with suppliers to validate material specifications and performance. Testing & Validation: Perform lab and field tests for noise and thermal performance under various operating conditions. Use tools like sound level meters, thermal cameras, and data loggers for diagnostics. Document test results and recommend design improvements. Compliance & Standards: Ensure products meet international noise and insulation standards (e.g., ISO 3744, IEC 60704). Support certification processes and regulatory documentation. Bachelors degree in Mechanical Engineering, Acoustics, Materials Science, or related field. 2–8 years of experience in noise control or insulation engineering, preferably in home appliances. Familiarity with acoustic simulation tools (e.g., LMS Virtual.Lab, COMSOL) and thermal modeling. Hands-on experience with sound measurement equipment and insulation testing methods. Preferred Skills: Knowledge of refrigerator systems and component-level noise sources. Experience with PU foaming processes and insulation material selection. Strong analytical and problem-solving skills. Good communication and cross-functional collaboration abilities. Career Path: This role offers advancement into senior acoustic/thermal engineering roles, product architecture, or cross-functional leadership in appliance innovation.

You will work on the development and application of technical workflows for analyzing environmental data, including downscaled climate model output, to develop climate projections for several different weather phenomena (e.g., precipitation, temperature, snow) and to assess current and future exposures. You will leverage tools and analysis methods to identify and address challenges in climate datasets. Your role will involve supporting the quantitative analysis of exposure, vulnerability, risks, and resilience associated with long-term climate change considerations for a range of clients such as municipalities and infrastructure agencies. It will be your responsibility to prepare documentation that succinctly summarizes methodologies and results for technical and lay audiences. Additionally, you will participate on multiple projects delivering on project commitments through effective coordination with internal colleagues, external resources and agencies, and consulting team partners. You will contribute to a diverse team of experts working to advance the Climate Risk & Resilience Services practice through effective data-driven analysis and decision-making. Your involvement will also extend to participating in the quality control operations of the climate analysis portions of projects and contributing to the definition of best practices to ensure consistency and scientific robustness throughout the climate change risk assessment processes. Furthermore, you will contribute to research and development initiatives to build innovative practices in the field of climate change risk and resilience. Your focus will be on collaborating with all national business lines within WSP providing advisory services with a focus on climate science, climate risks, and adaptation planning. Qualifications: - Undergraduate or graduate degree in data science, hydrology, meteorology, atmospheric science, climate science, environmental engineering or a related field - Strong computer skills including programming skills (e.g., Python) and data management and processing skills related to model output (e.g., familiarity with NETCDF file formats) - Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects - Experience working with tools and/or coding scripts for effective data processing, analysis, and visualization - Experience routinely working on coding projects and adapting scripts and programs written by colleagues, enhanced by a strong aptitude in standard programming practices - Experience with high-performance computing (HPC) and parallel processing in cloud environments (e.g., AWS, Google Cloud, Azure) - Strong statistics background, preferably with demonstrated experience in statistical methods for meteorological data infilling and trend analysis - Experience with climate change models and data portals, preferably with demonstrated experience in statistical and dynamical downscaling - Experience with AI and machine learning would be an asset Preferred candidates will understand: - Frequency analysis of extreme climate events (e.g., extreme rainfall, IDF curves) - Quantifying and correcting for statistical bias in climate datasets - Hazard modeling approaches that use climate data as inputs (e.g., hydrologic modeling, flood and storm surge modeling, wildfire modeling) - Conducting climate-related vulnerability and risk assessments - Experience communicating orally and in writing technical analysis and results to non-technical audiences using data visualization and maps - Attention to detail; commitment and skills to identify and detect errors; commitment to thorough quality reviews and checks; and commitment to accuracy, correctness, and excellence - Ability to innovate on challenging topics to produce client-tailored products - Experience working independently and on efforts requiring remote collaboration,