DNV GL Digital Summer Job 2020 - Data Analysis


Local Unit & Position Description

DNV GL Norway offers students relevant work experience.
Digital Summer job in DNV GL Norway
If your ambition is to make a real difference and seek opportunities beyond business, this could be the perfect start for your career.
The Maritime Program in Group Technology and Research is searching for 1-3 summer students with interest and skills within statistics, programming and data analysis. 
We are looking for students that are honest, motivated, willing to share, wants to influence and interested in contributing to digitalisation within the maritime industry. 
Knowledge and experience with developing software, user friendly software tools, and applying modern data analysis techniques such as machine learning is an advantage.  
The summer jobs will focus on analysis of data from communication, navigation and propulsion systems on ships. These systems produce sensor data and event and alarm logs that are used by the crew to operate and maintain the ship. However, as the data can tell a lot about the ship’s health status and how it is being operated, it can also be the raw material for analysis and further insight.
The summer job work will consist of the following tasks: 
  • Interpreting data sets from one or more systems and ships   
  • Perform data pre-processing/cleaning e.g. to handle missing data 
  • Introduce filtering functions e.g. based on which system/functions on board the ship has created the alarm/event.  
  • Introduce clustering functionality to group the data 
  • Combine the data with other data sources such as AIS or weather data. 
  • Develop analysis functionality
    • Using classical statistical methods e.g. histograms or alarm intensity per system
    • Using modern analysis techniques such as machine learning to detect certain patterns or anomalies.
    • Make automated checks and comparisons towards standards and rules to determine if systems are compliant.
  • Create a dashboard for viewing, analysing and exporting the data and analysis results
We believe this job is a great opportunity for a student who is interested in data analytics and motivated to explore new applications based on data from real ships. There are possibilities for extending parts of the summer job into a student project and master thesis, supported by DNV GL. 
The advertisement is applicable for summer jobs in DNV GL at our head office, Høvik (outside Oslo).
Managers will select summer students based on their business needs aligned with your education, experience and background. Please indicate your master program specialization and/or main area of study during the application process.
We are looking for students with relevant knowledge and competence. We trust our summer temps to help us keep the offices up and running during the summer and make the projects proceed according to plan.
Primarily we are seeking 3rd and 4th year students with relevant Master Program specialization in:
  • Data and AI
  • Cybernetics / Robotics
  • Mathematics
  • Physics
  • Computer Science / Information Science 

Position Qualifications

Personal Qualities: 
We want engaged students, who can identify themselves with our values and standards. It is important to us that you fit well into the organization and work environment.
We are looking for candidates with as many as possible of the following qualities:
• Quick learner and data smart
• Open-minded and curious
• Self-driven and willing to share
• Flexible and service-minded
• Structured and systematic
• Analytical
• Able to work both individually and in teams
• Fluent in English, both verbal and written
What we can offer:
• Valuable and real-life experience through our projects
• Free shuttle bus from Sandvika and Skøyen
• Meet other young professionals through established networks and informal events
• Well-equipped exercise center (Høvik)
• Close access to the sea and surrounding park with possibility for different outdoor activities
• Hard work but also lots of fun
• Building a professional network
Previous summer temps have experienced the summer jobs in DNV GL to be an excellent opportunity to get to know DNV GL as a workplace while obtaining valuable and real work experience. At Høvik - enjoying an ice cream at the beach during lunch is another benefit!
Application process: 
Please upload your application letter, CV and grade certificate in our application tracking system (iCIMS). All documents should be in English, if possible. Students without this information will not be considered.
Our managers will select and recruit from 7 October to 31 October. The process will be closed on 6 November. 
Welcome to DNV GL!

Hvem er DNV GL?

DNV GL is a global quality assurance and risk management company. Driven by our purpose of safeguarding life, property and the environment, we enable our customers to advance the safety and sustainability of their business.  We provide classification, technical assurance, software and independent expert advisory services to the maritime, oil & gas, power and renewables industries. We also provide certification, supply chain and data management services to customers across a wide range of industries. Combining technical, digital and operational expertise, risk methodology and in-depth industry knowledge, we empower our customers’ decisions and actions with trust and confidence. We continuously invest in research and collaborative innovation to provide customers and society with operational and technological foresight. With origins stretching back to 1864 and operations in more than 100 countries, our experts are dedicated to helping customers make the world safer, smarter and greener.

DNV GL is the world’s leading classification society and a recognized advisor for the maritime industry. We enhance safety, quality, energy efficiency and environmental performance of the global shipping industry – across all vessel types and offshore structures. We invest heavily in research and development to find solutions, together with the industry, that address strategic, operational or regulatory challenges.

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