Helvar Lighting Intelligence R&D is a 50 person technology group within a 240 person lighting solutions and components company (www.helvar.com). Based in Finland with R&D offices in both Espoo and in Dartford/Kent, we develop intelligent energy efficient products and solutions for global customers in 50 countries. Inside our R&D Agile organization, we are developing new IoT solutions with products ranging from our own hardware and embedded software products and sensors to mobile applications, developer APIs, and cloud services.

Lighting systems are evolving into becoming programmable and software controlled, connected and intelligent. Helvar has become the service platform for innovation in smart buildings and cities. And at Helvar R&D we have the best of both worlds, combining a small technology company where you can make a huge impact, mixed with a larger parent company which has the resources and patents and financial muscle to support prototype development into reality. We are almost like a start-up, but without the risk!

We are now looking for Master’s Thesis workers to our Keilaniemi office. We have divided the possible topics to the following four tracks.

Data Engineering Track

Possible tasks:

• Developing methods to maintain and organize the data pipeline in the cloud to ensure seamless and uninterrupted flow of data
• Build dashboards and visualizations using data analytics to identify patterns in data
• Research ways to improve data reliability and efficiency
• Processes to Acquire, Prepare and Transform raw data according to business needs

Skills needed and to be developed further:

• Experience with SQL and other big data tools such as Spark
• Understanding of Data warehousing, ETL and Modeling
• Programming skills in Python, Java
• Familiarity with ML libraries such as Pandas, Numpy, Scikit-learn
• Knowledge of AWS is a plus.

HW/Electronics Track

Possible tasks:

• Intelligent load balancing in a DALI system with multiple power supplies
• Channel congestion in a Bluetooth mesh system and means to mitigate it
• Comparison between different mesh network systems and suitability of those for lighting control (ZigBee, Bluetooth, WiFi...)
• Energy harvesting technologies and its possibilities in lighting control (sensors, user panels, etc)

Skills needed and to be developed further:

• Circuit design and simulation
• Co-operation with embedded SW designer
• System level understanding

Nice-to-have skills:

• Power Electronics design
• RF design
• EMC
• Sensor components
• Manufacturing techniques for high volume products
• CE requirements, IEC standards, radio standards & compliance (BLE, WiFi...)
• Understanding of control theories

SW Development Track

Possible tasks

• Development of tools supporting sales process
• Administration tools for managing large-scale IoT platform (User management, Key management, Site provisioning, License management)
• Using serverless technologies to develop web applications.
• Cloud native applications leveraging managed services from public cloud service providers.
• Evaluating new development paradigms and trending technologies via prototyping (Serverless, Docker, Kubernetes etc.)

Skills needed and to be developed further:

• Programming skills in one or more high-level languages (JavaScript, Java, Go, Python etc)
• Basic knowledge of agile development methodologies
• Exposure to cloud services and platforms (AWS preferred)
• Some experience in web development (React, Angular etc)
• Understanding of serverless architecture seen as a bonus

Machine Learning & Data-driven Solutions Track

Possible tasks

• Applying our existing event prediction model for dynamic lighting control
• Training a supervised machine learning models for lighting control
• Developing, improving and piloting the event prediction algorithms
• Developing and testing embedded ML algorithms for sensoring applications
• Mood and activity based lighting

Skills needed and to be developed further:

• Experience with machine learning libraries, such as Scikit-Learn, Keras, or Tensorflow
• Programming skills in Python, R, or Scala
• Familiarity with SQL and big data tools such as Redshift or Spark
• Knowledge of AWS is a plus.

Needed in all tracks

• A self-driven approach
• Passion for delivering an outstanding experience
• Eagerness to learn new things 

We can offer you an inspiring and flexible work environment, support and guidance to finalize your thesis on time with good results and competitive compensation. The start date is flexible.

Interested? Please apply through our website by the end of August. For further information please contact our Chief Future Illuminator Henri Juslén on week 26, 28 or 33.