YOUR TASKS: Development and design of main converter power stack. From prototype to series production. Concept design, detailed design, validation and industrialization of power stack for turbine main converter.
YOUR TASKS You develop impedance models for wind farms and battery energy storage systems in dq0 coordinates within a hybrid power plant setting You validate impedance models against EMT simulations and raw field measurement data You design control strategies for voltage and frequency control in hybrid power plants while considering coupling effects You perform tuning processes for PMS control loops in MATLAB/Simulink You contribute to improving impedance measurement methods and modelling workflows YOUR PROFILE You are enrolled in a Master's program in Electrical Engineering, Control Engineering, Power Systems or equivalent You have knowledge of electrical energy systems, ideally with exposure to wind energy You bring experience in MATLAB/Simulink or PSCAD, ideally including power system toolboxes You are interested in stability analysis, system modelling and control design Experience with converter control or wind farm control systems is an advantage You have programming skills in MATLAB; additional languages such as Python or C/C++ are a plus You work in a structured, analytical and self‑organized manner on complex technical topics DEINE BENEFITS Nordex bietet eine Vielzahl an attraktiven Benefits – hier findest du einen Auszug dessen, was Dich bei uns erwartet.
YOUR TASKS: Perform a fine-tuning of the wind turbine control system parameters to ensure both stability and best optimization results for the different product configurations and power modes Development and conception of new control functions to improve wind turbine as well as wind farm performance in terms of load reduction and power capture increase Investigate and analyze complex control issues in the fleet and develop corrective actions in close cooperation with various departments in an international environment Collaborate with cross-functional teams to fulfill Design Failure Mode and Effect Analysis for a new control function Collaborate with the modeling and best simulation of the key subsystems, sensors, pitch and yaw actuators in the wind turbine as well as flow effects at wind farm YOUR PROFILE: MSc /PH.D. degree in Mechanical, Control, Aerospace or Electrical Engineering field Knowledge on Control Design Techniques and Matlab/Simulink Required English (C1), desirable: German , Spanish 3+ years of proven experience Availability to travel YOUR BENEFITS In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location Nordex adheres to a policy of equal employment opportunity.
What you will do Translate business challenges into scalable technical solutions, collaborating with product managers and other engineers to ensure high-quality design, planning, and delivery. Design, build, and maintain RESTful APIs (internal and external) that power fast, reliable, and frictionless backend services.
• übersetzt Du Markt- und Kundenanforderungen in konkrete User Stories mit klaren Akzeptanzkriterien und arbeitest eng mit der Entwicklung zusammen, um praxistaugliche und technisch realisierbare Lösungen zu gestalten. • wirkst Du an Design-Thinking-Sessions mit, entwickelst Wireframes und Prototypen und verbesserst die User Experience (UX) – immer im Einklang mit dem Corporate Design von COSMO CONSULT
MySQL Python Google BigQuery Gitlab What you will do Conduct in-depth analyses on shop user behavior to uncover actionable insights Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences Provide full-cycle A/B test analytical support to optimize shop performance Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability Design and implement advanced dashboards, enabling self-service analytics across the organization Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are Advanced proficiency in SQL for complex data analysis and querying large datasets Expertise in e-commerce KPIs and funnel analysis Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation Strong understanding of customer segmentation and cohort analysis in the e-commerce context Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
At Nordex, we are at the heart of the green transformation of the energy sector. With over 10,900 employees worldwide, we design, produce, and maintain wind turbines that enable clean and sustainable power generation. Our procurement team plays a key role in ensuring innovation, quality, and efficiency across all categories.
At Nordex, we are at the heart of the green transformation of the energy sector. With over 10,900 employees worldwide, we design, produce, and maintain wind turbines that enable clean and sustainable power generation. Our procurement team plays a key role in ensuring innovation, quality, and efficiency across all categories.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.