Giant Leap Projects

In this project you will study the identification, quantification and compensation of adverse conditions for wind measurement. Ultrasonic anemometers are the standard solution for robust wind measurement, since their lack of moving parts makes them more resistant to adverse conditions. With your help, we wish to push this robustness even further. Ultrasonic wind measurement can still be disturbed by an exhausting list of conditions: extreme temperatures, water, ice, snow and dust - just to name a few. In many applications faulty or missing measurements can constitute a real security concern. Automated identification of adverse conditions alone could already provide the customer warnings, maintenance cues and flag suspicious data, and by furthermore compensating for their effect we could offer our customers reliable data in all conditions even in challenging applications.

With the support of our product development team you will replicate these adverse conditions in a controlled environment, analyze the results and propose compensation algorithms for the different conditions. The end result will be an analysis of the different disturbance factors, whether they can be identified, and how to potentially compensate for their effect on our wind measurement.

The comprehensive nature of the project requires you to have both practical laboratory experience and data analysis skills with e.g. MATLAB or python. In addition, signal analysis skills, familiarity with piezoelectric transducers and previous experience in experiment design will all help you succeed, as will general problem-solving and teamwork skills. We expect you to have three or more years of studies and a completed bachelor's thesis in physics, electrical engineering, mechanical engineering, or other suitable (technical) field.

This project is located in Vantaa, Finland.

Vaisala is the global leader in weather observation technology. Our weather radar offering caters the needs of national meteorological and hydrological institutes, aviation and other critical operations affected by severe weather. Weather radars are complex systems combining RF and microwave technology, moving mechanics, complex signal processing and application software. Product performance validation is an essential part of any product development project. This is done to verify that the product fulfills all customer expectations.

In Vaisala Weather Radar product area, new products and product versions are being constantly developed. To streamline the productization and fasten the time to market, a groomed toolset is desired to make the performance testing efficient and fast. This means a set of validation methods and criteria to support performance validation using radar data.

Performance validation toolset development work will be done with the support of a cross functional team of experts and using real data from Vaisala’s R&D radar systems. The daily work in the project includes data analysis tool development together with the team as well as individual work, radar data analysis, documentation, and reporting.

The preferred educational background is physics, radar meteorology, mathematics, or RF. Maturity of the studies preferably close to graduation. To succeed in this project, we also hope that you have skills in data analysis, statistical mathematics, MatLab and Python. We are looking for a person with a proactive and positive attitude, curious mindset, and good teamworking skills. This project also requires strong problem-solving skills.

This project is located in Vantaa, Finland.

We at Vaisala are committed to provide superior customer experience – where it truly matters. Measuring customer experience systematically enables us to understand better our customers and their needs, find out what satisfies and dissatisfies our customers, how to use the information to better cater customers’ expectation and continuously improve customer experience.

In this Giant Leap project, you will map the current state and future needs of customer experience measurement along the customer journey. In addition, you will identify and evaluate potential customer experience measurement tools which best suit our measurement needs. You will work closely with the owners of different customer touchpoints across the company in various functions, like website, ecommerce, services, sales and after sales.

To succeed in this project, you should have solid communication and collaboration skills, analytical mindset and ability to make things happen. It is an advantage if you have knowledge or interests of customer experience management. Your educational background could be in business administrations, economics, business technology or information management, for example.

If you are interested in learning and developing customer experience in B2B context, this can be your summer project!

This project is located in Vantaa, Finland.

Our customers depend on accurate and reliable measurements in order to make data-based decisions. For this to happen, measurement devices need to be maintained properly and cost-effectively. Predictive maintenance can be used to estimate maintenance needs before availability of accurate measurements is impacted and to reduce costs especially when operating large measurement device networks.

In this Giant Leap project you will look into the available data from connected professional measurement devices and study how the data could be utilized to detect early symptoms of potential sensor failures or battery issues, in the measurement devices. You will select the most valuable use case and create a Machine Learning model to predict when a particular device would require maintenance. AWS SageMaker or similar AWS service would be used to create and deploy the model. You will work together with our device and cloud development teams along with service engineers to gain insights to plan, build, and deploy the model.

As the outcome of this project we would understand more in-depth how the data received from Vaisala sensors and devices could be algorithmically processed to provide predictive maintenance services.

To succeed in this project your preferred skills include: machine learning, analytical thinking, curiosity, and teamwork. Your educational background could be engineering or science.

This position is located in Vantaa, Finland.

Infrared detectors are key components in Vaisala’s optical gas sensors which provide accurate, reliable, and stable gas concentration measurements in a wide range of applications. In this project you will study infrared detectors from different manufacturers and analyse their feasibility for Vaisala’s optical gas sensor technology. You will compare detector components for example in terms of their sensitivity and speed. The detector packaging and connectivity to the gas sensors will be preliminarily evaluated as well. Together with the team, you will choose a suitable optics setup for the experimental work. By the end of the summer, you have tested the components according to the test plan, analysed the results and written a report concluding the key findings. The work will be carried out in Optical sensors R&D team and in close collaboration with its scientists and engineers.

Your project can be divided into four stages: 1) Making a test plan for the components that will already be available in Vaisala in the beginning of your work, 2) conducting measurements in the labs of Vaisala’s brand new R&D building, 3) analysing results and 4) producing and presenting an overview of the component performance and suitability for Vaisala’s optical gas measurements. 

To succeed in this project, you will need an analytical mindset and hands-on attitude and at least 3 years of university studies e.g. in physics or electronics. Experience in (opto)electronic measurements and data analysis is an advantage.

This project is located in Vantaa, Finland.

Carbon flux measurements play a key role in climate change monitoring. There is an increasing need for accurate, local carbon flux measurements. Vaisala studies calculating carbon flux with eddy covariance method based on the measurements.

Carbon flux measurement stations generate a lot of raw data at high speed. This data needs to be stored, post-processed using Eddy Covariance calculation algorithms, and integrated into scientific analysis, and into models such as Pecan platform. The target is to understand which parts of the carbon flux processing shall be done close to the local measurement location in local edge gateways, and which parts must be processed in the cloud platform, and how this data will be used in the carbon flux models. Defining the division between edge and cloud processing is your main task. The right division is heavily dependent on the costs of the local carbon flux station costs, data communication costs, data processing costs in the cloud, and data archive costs. This cost information will be provided to you and we can monitor in real-life examples of different prototype locations.

In this project, you will study carbon flux eddy covariance algorithm independently with the support of team members and scientists. You will create a matrix of different technical alternatives. You will calculate the annual costs of different alternatives, and list their pros and cons in pricing and in technical flexibility. With your cost comparison and technical evaluation, we are able to test your recommendations in practice with our prototypes. You will write a specification for sw development in edge gateway. You will write a data format specification for data communication between edge and cloud. You will write a specification for must-haves in cloud. You will write a specification for data communication and format between cloud and carbon flux modelling (Pecan). Your help in these specifications takes the new eddy covariance based carbon flux station one step closer to a real product. There is a bonus work about movable CO2 flux system with SWOT analysis and feature comparison, if time allows.

The day-to-day work includes studying and analyzing the carbon flux eddy covariance algorithm with our scientists, estimating which parts can be locally processed near the measurement station and why certain parts need to be in cloud. Documenting and writing of your findings, listing the benefits and drawbacks, and making a recommendation about the best compromise. Monitoring also real prototype test data costs and propose improvements.

In this role, you will be closely working with the project supervisor Pirkko Väkimies, 1-2 Vaisala system architects, 3-4 scientists in the team, and the rest of the carbon flux project team approx. 12 people.

Preferred educational background is 3-5 years of computing sciences / ICT. Technical skills needed to succeed in this project are Python knowhow, Matlab knowhow, modelling experience and technical requirements specifications/documentation skills. Also interest and experience in forestry, agriculture, or greenhouse gas measurements is seen as a great asset! To successfully lead this project, we are looking for a person who is self-guided and self-driven and has good communication and teamwork skills. In this project, you will also need problem-solving and analysis skills, and we also appreciate critical and logical thinking.

This position is located in Vantaa, Finland.

Vaisala is developing smart probes for measuring wide range of physical quantities in different environments. All these probes support a common interface between probes and other Vaisala products. It is the key for future success to maintain the compatibility as the number of Vaisala products and product combinations increases.

The goal of this Giant Leap project is to investigate different tool options and develop proof-of-concept protocol test automation for a selected area. The target is to create a test system that helps existing and new projects to validate that products are compatible with the protocol.

In this project, you will work together with a project team. The project starts with a research phase that includes understanding the protocol, gathering project needs, and validating available tools and technologies. Based on this research you will then, together with the project team and relevant stakeholders, decide what will be used for proof-of-concept and develop a basic test set with the selected tool/technology. During the project you will also be supported by software testing and development competence teams as well as system architect team.

The project requires programming skills. The preferred educational background would be a technical background, e.g., studies in software engineering. You should also be interested in embedded software, protocols, test automation, and quality. Work in this project will be done in hybrid mode, so to succeed in this project, you should have an active attitude, good communication skills, and willingness to learn new things.

This project is located in Vantaa, Finland.

At Vaisala, we are constantly developing new sensors and measurement devices. Last year, we spend 12% of net sales into R&D. Currently, we are developing a novel humidity sensor. The goal of this Giant Leap project is to perform electrical measurements to characterize the humidity sensor over humidity and temperature measurement range.

We must first characterize the performance of the humidity sensor to understand it’s performance better and to help electronics designers to design suitable measurement circuit. A better understanding of sensor performance will also help in possible future manufacturing process updates. The novel sensor can also be used in multiple future Vaisala products.

The electrical measurements should be made with various measurement frequencies to understand stray elements of the sensor. Based on the measurement data, you will create an electrical model for the humidity sensor. A large part of this project is also to improve the test setup used for the measurements.

The day-to-day work includes time in the laboratory, as testing the sensor is a key part of this project. The measurement data analysis can be made with e.g. Python or another suitable tool. The daily work also includes improving the test setup, that will require some hands-on soldering and test setup building. In this project, you will be part of our R&D project team developing the novel humidity measurement. Your closest colleagues will be Paul, team’s electronics designer - will help you with electronics, Niko, team’s scientist – will help with understanding the sensor and how it is used, and Irene, team’s project manager – will help with everyday stuff.

To succeed in this project, we are looking for a min. 4th year university student with technical background, preferably electrical engineering. Understanding of the functionality of sensors or similar electronic component is an asset. We are looking for a hands on type of a person with practical skills. Basic Python -coding skills are also seen as an asset. A perfect candidate is a team worker with communication skills and a critical thinker with curiosity. Our day-to-day language inside project team is English.

This project is located in Vantaa, Finland.

In this project, your task is to develop a visual monitoring display for our weather forecast production pipeline. The goal is to bring clarity to a complex system which processes a continuous stream of global environmental data. You will provide the forecasting DevOps team with increased situational awareness of what’s going on in forecast production, so they can better analyse anomalies and performance bottlenecks in the system. Currently many of the individual pieces of the system log their behavior in text files or have their own limited visualization screens: we want to combine all these sources in a single display, to gain a comprehensive view. The forecasting team provides forecasts globally and for many industries, with emphasis on transportation weather. Example customers include BMW, Porsche, Audi, and government agencies around the world.

You will interact with the forecasting DevOps team who will provide the raw data sources, which may be files or APIs. You will process the data from these sources (likely with a python script), and push the data into Prometheus, and then define a visualization for that data in Grafana.  This includes visualizing both the performance of the system and the data itself, for example: how many seconds it took for incoming satellite data to reach the delivery API, where did lightning strike during the last 5 minutes. Every now and then lean back and look at the big picture – how can you simplify the complex whole? Discuss and bounce ideas off of the team members.

Required skills and preferred educational background: You might be a UX designer with some coding skills, or a CS major interested in computer graphics or UX, with at least three years of studies. To succeed in this project, you should have programming skills in a Unix environment and some familiarity with front end development. (If you can pull data from a web API and do something with it, you’re good to go.) Familiarity with Prometheus/Grafana, or analytics & monitoring systems in general are considered a plus, but not required. In addition, we are looking for a person with keen eye for data visualization. You need to solve how to cleanly visualise the overall status of numerous very different data flows.

The project is located in Espoo, Finland.

As part of Vaisala strategic goal to be scalable in high mix and low volume business, we are going through major changes in business systems. This is a great opportunity for us to rethink our business system architecture also for QEHS.

The goal of this project is to create an ideal state recommendation for process and business system architecture for Vaisala QEHS management. Project includes current state mapping of QEHS processes and business systems as well as vendor mapping of different QEHS software.

Your day-to-day work will be a combination of independent research and collaboration with multiple cross-functional stakeholders, e.g. Group IT, Sourcing, and Operations. In the first phase of the project, you will study our current QEHS processes and business systems from both process description and user experience point of view and create a target state of Vaisala business systems for QEHS management. Your working methods might be for example interviews, workshops, and independent process and system mapping. In the second phase of the project, you will study external vendors and gain insight of the current offering to fit the target state created in the first phase. You will have active support from our QEHS experts throughout the project.

We are looking for a candidate with at least 3 years of studies on a relevant field, for example information technology, industrial management, or information management. You understand business processes in general and different information systems within an enterprise context. Practical experience is an advantage but basic knowledge from university courses is also sufficient.
To succeed in this project, proactive mindset to study and learn autonomously is a must. You have abilities for system thinking and can create a big picture from a complex setup. We appreciate good interpersonal skills as the project requires interaction in global organization and with people from different backgrounds.

This project is located in Vantaa, Finland.

In this project you will study and work toward a goal to further improve business continuity, IT security and resiliency of manufacturing ICT environment in Vaisala operations. The project outcome will help to furthermore protect Vaisala’s manufacturing capabilities in the future and make Manufacturing Operators work more seamless.

In this project, the concept and technology for seamless and secure authentication methods for Manufacturing Operators is defined and tested. You will also define the methods how manufacturing workstations are patched and kept up to date (without disruptions) in the production. You will create a deployment plan about how to enable advanced security protection and monitoring capabilities in manufacturing environment. At the end of the project, we should have a deployment plan in place how only supported and secure operating system and application versions are utilized in the manufacturing environment and end-of-life planning procedures.

The day-to-day work includes surveying the Manufacturing Operators and other relevant stakeholders from Operations team. You will build up knowledge of the current state and map IT security requirements to current state. You will also plan improvement actions together with IT and Operation support. During the project, you will work closely with the IT security team, IT end user solutions team as well as the Manufacturing Operations support and other Manufacturing teams.

Preferred educational background for this project is in ICT and/or ICT Security. Also, someone with skills around Electrical Manufacturing might be a good fit in this role. To succeed in this project, you will also need strong communication, documentation, and analyzing skills.

This project is located in Vantaa, Finland.

Vaisala continually seeks to ensure sustainable growth. We want to sharpen our ability to treat our data as an asset, a strategic resource, and a capability to deliver customer value and ensure scalability. Project deliverables include (i) data governance model pre-study and benchmark of similar companies (ii) data governance model creation, including roles and responsibilities, governance practices and recommendations for data quality metrics (iii) pilot data governance model in a data subcategory and adjust the model according to the pilot and finally (iiii) communication plan target of which is to improve awareness in data integrity.

Although we want to create an effective, applicable, and scalable data governance model this is not the main goal of the project. The main goal of the project is to make the model work in Vaisala’s environment with Vaisala’s people. In other words, this project is a combination of data management and change management.

Closest colleagues will be in Operational Excellence, Group IT, and various business teams. A typical work week will include interviews and familiarization with organization, people, and enterprise architecture. Later in the project the work includes observing data governance meetings and making adjustments to the model based on that.

The suitable candidate has an ability to apply a scientific model into actions and interactions of people, courage to work in a cross-functional environment with people from different backgrounds and communicate fluently in English. We expect min. 3 years studies on relevant field, e.g. data science, data management, information technology, industrial management, information management. However, passion for the topic and willingness to learn are the most important assets.

This project is located in Vantaa, Finland.

Vaisala has a predictive maintenance supervision instrument that keeps a watchful eye over our customers expensive assets. The difficulty our customers face is that they have hundreds of these assets, and they need to find out at a glance which of the assets in their fleet are experiencing issues. They also need tools to visualize the application specific data in a way that it has value to their experts and helps them determine the complete status cause of the asset. In the big picture Vaisala’s focus has always been to understand our customers and provide solutions to their needs. With this Vaisala aims at generating products, which are meaningful and solve problems our customers have. Fleet viewing is important factor for customers managing very large quantities of our instruments with ease and effectiveness.

Primary goal of this project is to generate a device interfacing template into a commercial system and design a graphical user interface that compiles the connected data into a meaningful presentation of the overall status and individual complete status of the user’s assets, based on data from our devices. The outcome would be a part of the complete solution for our end customers, including documentation of the produced interfaces and usage thereof.

The day-to-day operation entails learning about the commercial system and tools to create the templates for the device and creating the view templates for the graphical user interface and actually creating them. Creation of the GUI tools also means that you will need to learn, think, and discuss with our industry experts and perhaps even our customers what it is that they need. You will also need to document how they work and how they can be taken into use. A lot of computer work, technical problem solving, and research work will be your daily routine. Your closest colleague will be your supervisor, the Application Manager for the Vaisala product, who will also be most interested in accomplishing this, as the work of our product areas is to manage our offering. The main project team will be you and him, but you will get support from our products software team, industry experts and others.

Preferred educational background for this project is 3+ years of studies in software engineering. Experience in SCADA communication protocols and/or user interface design would also be beneficial. Documentation skills, problem-solving capacity, attention to detail and curiosity are all aspects of the person that we are looking for.

This project is located in Vantaa, Finland.

Weather radars are one of the most complex and largest products of Vaisala, which performance and capability requirements are affected by several internal and external stakeholders. This causes production testing and calibration to be a demanding process, which could benefit of more advanced methods. Development of the production process would allow Vaisala to enhance productivity and production quality. Collecting relevant production data will allow better monitoring of production performance as well as enhance customer experience through more advanced services.

In this project, you will study the requirements of different stakeholders related to weather radar customer delivery project. You will perform entire weather radar test and calibration process to chosen system configuration with support of production operators and radar engineers. Based on your study of the requirements of different stakeholders for test and calibration, you will make a conclusion on the most suitable procedure. After this you will make electrical procedure instruction which will be tested at real production environment. The project also includes collecting feedback and making necessary adjustments and improvements to the procedure.

You will be a member of team that consist of 11 process engineers and project managers in Vaisala Weather Factory. During the summer, you will also communicate and discuss with several stakeholders related to weather radar customer delivery projects, such as customer project managers and engineers, production team members, R&D and test development engineers.

To succeed in this project, you should have 3-5 years of studies in industrial engineering, process engineering, or electrical engineering. Process oriented thinking, knowledge of lean principles and understanding of data collecting and handling are also needed. Experience with Linux operating system or radio frequency technology are seen as an asset. We are looking for a candidate who is proactive and has self-initiative approach to discussion and communication, is able to approach information critically, and is capable of handling large and complex subjects.

This project is located in Vantaa, Finland.

We have growing demand for several products and for that reason we have a need to know what our capacity at certain moment is, what the bottle necks are, and how the capacity would develop with different type of actions. We would need to develop a simulation tool to estimate our factory capacity at a specific moment as well as to predict potential bottlenecks in different situations. This way we are able to keep our promised shipping days to our customers as well as sell our full capacity if required. In this project we would use C-band weather radars and CMS (Continuous Monitoring Systems) products as pilot products.

The goal of this project is to define the requirements for capacity simulations. The project work includes current state analyses (how well we meet the requirements with our pilot products), survey of existing simulation tools and methods in the market, solution selection and possible pilot simulations with the best fitting solution. In addition, the project also includes documentation, for example instructions for capacity simulation.

At the start of the project, you will first be introduced to our factories and products that are investigated in this project. You will also get familiar with the team and relevant stakeholders. In the project, the current state analysis will be done with the support of our process engineer. The project also includes independent work when investigating the capacity simulation tools available in the market.

You will be member of team that consist of 11 process engineers and project managers in Vaisala Weather Factory. In this project you will also get familiar with colleagues in Vaisala Instrument Factory. One of the key contacts are also our production planners that are responsible of planning our delivery capacity according to customer orders.

To succeed in this project, you should have 3-5 years of studies in industrial engineering and service delivery or process engineering. Also, data analytics and simulation skills as well as understanding of end to end delivery chain are needed in this project. We are looking for a candidate with strong analytical skills and communication skills, to be able to discuss and interview different parties. Ability to work independently, innovative mindset and out of the box thinking are also highly appreciated.

This project is located in Vantaa, Finland.

In this project, you will work in Vaisala’s Production Technology Test Development team which is part of the Operations unit. In this role, you will evaluate machine learning libraries for visual inspection.

Adaptive machine learning libraries are the opportunity to improve quality in many applications in manufacturing. The technology is evolving rapidly, and we need evaluate the robustness and estimate ROI for future use cases. Especially we are testing the machine learning libraries in use cases where the traditional machine vision algorithms are not robust enough.

In this  project, you will study and research machine learning libraries for visual inspection in sensor production testing (e.g. semiconductor wafer level testing). You will evaluate existing technology and licensing models in practice (e.g. Tensorflow) and recognize references and successful use cases from industry. You will also evaluate the robustness and repeatability in practice. In addition, you will determine workflow for model design and development and document steps from design to deployment.

With the support of our test development team, you will build PoC in a controlled environment, analyze and document the results, and propose a solution. The end result will be a working PoC application that is a using real data.

The comprehensive nature of the project requires you to have both practical programming and data analysis skills. Your educational background can be in electronics engineering, automation engineering, measurement technology, physics, software engineering or other related field of technology. To succeed in this project, studies in machine learning and/or machine vision are mandatory. You will also need strong programming skills: Python, C#, C/C++ programming or equivalent, and good technical and analytical skills to support problem solving. The project also requires good communication, planning and documentation skills.

This project is located in Vantaa, Finland.

Vaisala’s manufacturing is going towards Smart factory. In this project, you will investigate what kind of smart tools for assembly of electronics devices are available and how to connect them to digital instructions and integrate them to Vaisala’s processes. You will also evaluate tools in practice and get preliminary results from factory use.

The day-to-day work includes studying what kind of smart tools are available for manual assembly processes and what kind of data they give from the process. You will evaluate selected tools in factory use and build a pilot assembly process for selected products using Vaisala’s digital instruction platform. At the end of the project, you will also propose the next steps on implementation of smart tools. In this project, you are working in Production technologies team and you will get an opportunity to work very closely with our factories.

To succeed in a project, you should have couple years of studies in manufacturing technology, mechanical engineering or similar close to manufacturing.

This project is located in Vantaa, Finland.

In this project, you will deep dive into which modern features and benefits are most important to today's key decision makers. How does Vaisala's Indigo ecosystem of products fit into our known industries? Does the Indigo's digital interface and modular design offer potential for integration in new applications? 

Your key responsibilities include deep diving into a handful of key markets to define the measurement device ecosystem and determining what factors are important for the entire life cycle of the product. You will also interview customers from selected markets to understand items of importance. What are the trends and outlook for our region? Are there industry drivers for system conversions from analog to digital? Researching and understanding the benefits of Modbus protocol as well as other digital communication used in the identified industries is part of your work. As the end result of your project, you will determine Vaisala's current market position, as well as gaps, and prioritize areas for improvement based on business impact potential.

This position will be with the North America Inside Sales team for Industrial Measurements and report to the Inside Sales Manager. You will communicate with the team members both in-person and virtually, but plan to work full-time in the office. 

Preferred field of study for this project is technical or business degree with a minimum of 2 years of study, and interest in digital communications and programming. We are searching for a curious individual who enjoys hands-on learning, has strong communication skills, and is comfortable interacting via phone, email, and video conferencing. To succeed in this project, you are able to follow through and take ownership while leading with minimal guidance. You are also comfortable with organizing and presenting market research. Previous experience with B2B marketing/business is a plus.

This position is located in Boston, US.

Interested in this project? Apply here!

At Vaisala Service Centers, we calibrate and repair customers' measurement instruments. In this Giant Leap project, you will develop data analyses to improve Service Center operations. Daily work will include the full analytics cycle from refining goals with stakeholders to cleaning and analyzing data and creating visualizations and reports.

You will work with Service Center personnel to learn about the operations and how existing data is generated. Analysis tooling is flexible (could end up using for example: R, Python, Minitab, and/or Excel). Potential starting points for investigation could be detecting reference drift or triggering preventive maintenance from test station readings or recommending process improvements from patterns in service case records or customer feedback.

Preferred educational background is 2+ years of study in a technical field or equivalent combination of education and experience. We hope that you have experience with (or enthusiasm for learning) data analysis and quality control/statistical process control. The project requires critical thinking, attention to detail, and ability to clearly communicate about technical topics. Also, basic programming experience is preferred in this project.

This project is located in Boston, US.

Interested in this project? Apply here!

Vaisala is offering both automatic weather stations and satellite-derived solar irradiance data which are already used by our customers for solar photovoltaic (PV) plant performance monitoring, independently of any ground measurements.

The goal of this project is to investigate the possible benefits of a combined approach leveraging on-site weather stations, remote meteorological data, numerical weather prediction (NWP) and satellite data; defined as the "combined approach". In this project, you will study available literature published by researchers and expert groups, and contribute to customer interviews to assess their current practices and quantify possible value creation. You will investigate theoretically and experimentally (data processing and analysis) various options for the combined approach, targeting the improvement of time series statistics such as hourly (or finer) Root Mean Squared error and correlation of the non in-situ measurement approaches (such as satellite and NWP) when trained with in-situ measurements.

You will work in close collaboration with Vaisala Renewable Energy team composed of product owners and data scientists (experts in meteorological observations, physicists, artificial intelligence, machine learning). The team is located in our Saclay (France), Helsinki (Finland), and Seattle (US) offices.

Preferred educational background for this project is Master of Engineering Science in renewable energy or equivalent, including knowledge of physics and atmospheric sciences. You will also need data processing skills and knowledge of common programming languages (Python, Matlab or equivalent). The project requires good interpersonal and communication skills, experienced user level (C-level according to the CERF scale) in English and intermediate or upper intermediate level (B-level or above) in French, to be able to communicate effectively with internal and external contacts and present regularly. We are looking for a person who is passionate about renewable energy, curious and aware of climate issues. You are able to organize you work, be accountable, and deliver on time. Entrepreneurial mindset, ability to work autonomously, and taking the initiatie to achieve your goals are needed to succeed in this project. The candidate we are looking for is a creative problem solver who proposes innovatie concepts and takes them further by demonstrating their value.

This project is located in Saclay, France.

Interested in this project? Apply here!

Urbanization and concentration of human activities in smaller areas are a known mega-trend. Denser urban and industrial environments bring great efficiencies and economic benefits for societies, but also more challenges and risks to citizens' health and quality of life in these areas, potentially augmented when combined with more frequent extreme weather events, and human-made environmental changes.

Vaisala has solutions that can help these environments and businesses in them reduce their negative impacts and operate more efficiently by providing timely and accurate insights to increase awareness, preparedness, adaptability, and recovery; while also creating new business opportunities arising from climate mitigation actions and operational resilience.

At Vaisala, we want to explore and validate potential for our solutions in these domain, understanding value chains, main players, and potential points of entry to those value chains, with a best-fit solutions for their current problems and opportunities. For this, we need to understand current market forces at play in those systems, the value drivers of the incumbents, the competitive landscape, and the regulatory dynamics to draft an early go-to-market plan with the best-fit solutions, identifying also possible early wins and development gaps to enter and succeed.

In this project, you will lead a market research of selected segments or verticals in build environments, such as utilities (power, energy, and sanitation), buildings and traffic management - narrowed choice to be defined together before the project starts. You will map ecosystem of players, value chains at play and competitive landscape in the chosen segments or verticals. During the project, you will develop in-depth understanding of customers' value, ie. problems to solve and opportunities to grasp, in the form of either operational efficiencies, increased safety and resilience, or new business opportunities. You will also perform an early study of solution-market fitness, in discussion with our solution experts.

Preferred educational background of the intern is from business, economics, and/or industrial management. To succeed in this project, you need to be able to work independently, have a curios and strategic mindset with analytical thinking. Active networking skills are essential as you will be interacting with numerous internal and external stakeholders. We also value any experience on market intelligence, product-market fit analysis, value creation exercises, industry competitiveness analysis, as well as any smart city, infrastructure, power & energy industries' knowledge are a plus.

This project is located in Saclay, France.