Simula Summer Internships
Would you like to spend your summer working in a highly competent, challenging, and informal yet professional environment? Every year, Simula recruits summer interns to work together with motivated international researchers within Information and Communication Technology (ICT).
Meet some of our 2022 summer interns and read about their experiences here.
Simula is a publicly-owned research lab that is focused on five main research areas: communication systems, cryptography, machine learning, scientific computing, and software engineering. Our main objective is to reach new levels of understanding and to create vital knowledge about fundamental scientific challenges that are of genuine value to society.
Summer internship positions 2022:
We offer summer internship positions in all five of our focus research areas. The summer internship positions last for 6 weeks and take place during the period from mid-June to mid-August. See our previous summer internship projects here.
Summer interns are supervised by Simula researchers and embedded into the departments at our research units in either Oslo (Simula Research Laboratory and Simula Metropolitan) or Bergen (Simula UiB). Please follow the links below to learn more about the research and to apply. You can apply for up to two fields.
Deadline for applications were: November 13, 2022.
Research area: Communication Systems, Oslo
Our goal is to make digital infrastructures more robust, resilient, and secure, and to develop advanced applications for now and the future. We also study interactions between these systems and society to help inform government policy.
Research area: Cryptography, Bergen
Modern cryptography enables applications like e-voting, machine learning on cloud-stored data without loss of privacy, and allows secure login without revealing passwords. We seek ways to represent information securely, protecting its confidentiality and guaranteeing its authenticity using methods from informatics, mathematics and engineering.
Research area: Machine Learning, Oslo
We focus on the mathematical foundations of machine learning, the experimental study of machine learning algorithms, and the application of machine learning in real-life applications including sports, human health and software engineering. We also develop machine learning methods that can be used in practical applications to process large amounts of data derived from multiple sources.
Research area: Scientific Computing, Oslo
We work on advanced computational methods – from their mathematical foundations through to their application – to investigate complex physiological phenomena and medical conditions. Our key interest is modeling processes and conditions of the heart and brain, including heart failure, stroke, and dementia.
Research area: Software Engineering, Oslo
We use software engineering methods and tools to design, develop, maintain, test and validate complex software systems. Our goal is to ensure that the software we rely on is robust, reliable, safe and secure, both for today’s systems and for quantum systems of the future.
We are looking for students that:
- Are currently pursuing a bachelor’s or master’s degree in mathematics, physics, data science or informatics, or other specialisations in technology
- Are curious and interested in research, and enjoy working on challenging problems, both independently and in teams
- Have strong academic results
- Are proficient in English (both spoken and written)
Due to short-term employment, applicants must already be permitted to work in Norway, i.e. not requiring new visa processing.
What we offer:
- The opportunity to do high-quality research under the supervision of international researchers and to work in a team with fellow interns
- A highly competent and engaging workplace where you are encouraged to contribute scientifically
- An hourly-based wage (note: Simula does not cover expenses such as travel, housing, etc.)
- An inclusive working environment, with a fun and social workplace culture
- Inspirational academic lunches
- Social activities and networking events
- Subsidised lunches and free coffee/snacks
- Invitation to in-house guest lectures
- Training courses (e.g. critical reading of research papers and pitching techniques)
For more information contact HR Advisor Sissi Chan (firstname.lastname@example.org) or Senior Advisor Stian Engen (email@example.com).