Master Thesis in Data Science - Temperature Variations in Electrical Assets

Working at Oktogrid™

Oktogrid™ is helping electricity providers bring the grid online for higher reliability and a safer energy transition. The future will be electric, Oktogrid™ is giving the insights needed to keep the power flowing. We are a dedicated team working with industry heavyweights in optimising the usage of the electrical grid and making sure that the electrification of our society remains sustainable - and we are looking for a new team member!

The Ideal Candidate

The ideal candidate is a master student with a curious and flexible mind, who has the interest to fully own and independently drive a data science project in our company for the total duration of 5 months (30 ECTS), 5.5 months (32.5 ECTS) or 6 months (35 ECTS). The candidate will be part of our Product Development Team and have the possibility to interact with other data-enthusiast specialists in the back-end, front-end and embedded development domains on a daily basis. Apart from completing their study journey, the ideal candidate is a student who is motivated by the prospect of having the outcome of this research project repackaged and utilised in one of the company’s products, thereby contributing to its success. The ideal candidate is able to start at the beginning of the incoming semester (August 2024). The master thesis work is unpaid.

The Thesis Topic

Assets on distribution grids are exposed to variations in load, which cause temperature increases. In addition, environmental weather changes have an impact on the thermal response of these assets, and these assets can be located in multiple locations (inside enclosures, out in the open) that need to be factored in. The aim of this project is to use our large database of asset load and temperature measurements together with recorded environmental weather data to expand our existing thermodynamic models to predict variations in asset temperatures.

Your contribution will directly impact the life-cycle and utilisation of assets and thereby optimising the reinvestments needed for the energy transition.

Requirements

• Currently enrolled as student in a Master Degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science, etc.).

• Excellent communication skills in English (Danish or other languages are a plus).

• Some degree of knowledge of the following tech stack: Python, Jupyter Notebooks, Pandas, NumPy and other data science-related libraries

• Committed to document your work.

• Ability to work with a high degree of independence.

• Ability to utilize scientific studies and judge their relevance for the selected problem (when/if required).

• Ability to evaluate the scientific and practical relevance of the results.

• Ability to perform written communication in a linguistically and scientifically correct manner.

• The candidate must reside within commutable distance from our Copenhagen’s office – no remote.

Good To Have

• A portfolio showing some of your data science projects hosted on Github or similar platform.

• Some degree of knowledge of one or more of these applications: Git, Jira (or equivalent issue tracking tool), Confluence, Office, Google Suite.

• Some degree of knowledge of one or more of these concepts: Scrum/Agile framework, CI/CD, Markdown documentation, databases, data pipelines.

• Some degree of knowledge of one or more of these cloud vendors: AWS, Atlassian.

What We Offer

• A Master Thesis project of the total duration of 5 months (30 ECTS), 5.5 months (32.5 ECTS) or 6 months (35 ECTS) according to your needs.

• A professional, informal and positive working environment.

• A great opportunity to learn and kickstart your professional career!

• A cozy office close to public transportation (Nørrebro St.).

• You will work closely with our data-enthusiast specialists in the back-end, front-end and embedded development domains.

• You will work in an environment that genuinely awards pro-activeness, meritocracy and ideas.

How To Apply

Please apply with your resume thru The Hub and include a short motivation letter (max 10 lines) stating what motivates you regarding this Master Thesis project. If The Hub allows you to upload only one file, please combine the resume and the motivation letter in the same PDF file using PDFSam or similar application. Only candidates who apply thru The Hub will end up in the candidate pool. Applications via email will be discarded. The email address is provided only for asking questions or requesting additional information.