Christian Kårbø Engelsen

General Manager & Administrator

Bergen, Norway

General manager with experience in organizational leadership, finance and operations. Has led both volunteer organizations and technical teams.

Work Experience

General Manager (50%)

Studentradioen i Bergen

2025-08 — Present

Responsible for marketing, finances, accounting and customer relations.
Actively driving brand building and recruitment of volunteers.
Planning and executing social activities for a large volunteer community.

AccountingBudgetingGrowth StrategyBrand BuildingRecruitmentProject ManagementCommunity Building

Technical Director (40%)

Studentradioen i Bergen

2018-08 — 2022-12

Led technical operations and coordinated volunteers.
Ensured a stable platform for broadcasts, events and external communication.

IT ManagementRecruitment

Radio Operator (100%)

Norwegian Armed Forces

2017-01 — 2018-06

Tactical communication and signals in demanding environments.
Mentored colleagues in communication procedures.

Volunteer Experience

Leader

Bergen Open Source

2025-02 — Present

Leader of the Bergen Open Source community and conference.

Non-Profit ManagementProject ManagementCommunity BuildingGit

IT Manager

Det Akademiske Kvarter

2022-02 — 2026-01

Led the IT department and was responsible for technical infrastructure.

IT ManagementProject ManagementRecruitmentCommunity BuildingAzureGit

President

friByte

2021-12 — 2022-12

Led the student organization that operates IT services for student associations in Bergen.

Non-Profit ManagementProject ManagementRecruitmentCommunity BuildingGitLinuxLinux System Administration

Production Manager

Phonofestivalen

2021-09 — 2022-02

Responsible for production and logistics during the festival.

Vice President

friByte

2021-01 — 2021-12

Assisted the president with daily operations and activity planning.

GitLinuxLinux System Administration

IT Manager

Studentersamfunnet i Bergen

2018-08 — 2020-06

Responsible for IT operations and technical infrastructure for Studentersamfunnet.

IT Management

Skills

Leadership & Business

Non-Profit ManagementIT ManagementProject ManagementRecruitmentAccountingBudgetingBrand BuildingCommunity BuildingGrowth StrategyCRM

Technical Operations

Linux System AdministrationTechnical SupportTechnical TrainingTechnical ReportsHardware TroubleshootingMaintenance & RepairVisma

General

Analytical SkillsTeamworkProblem SolvingAcademic Writing

Education

Master's Degree — Information Science

University of Bergen

2024 — Present

120 ECTS credits. Specialization in information architecture, user behaviour and digital communication.

Bachelor's Degree — Cognitive Science

University of Bergen

2018 — 2025

Consciousness, cognitive abilities and philosophy of AI. Specialization in computer science, philosophy and information science. 180 ECTS credits.

Bachelor's Degree — Artificial Intelligence

University of Bergen

2022 — 2024

Artificial agents, machine learning and development of AI solutions. Combines computer science and information science.

Coursework

Bachelor's in Cognitive Science

Mandatory

Biological and Cognitive Psychology

PSYK120

The biological foundations of the nervous system, emotions, and learning, combined with cognitive theories of perception, memory, and reasoning.

Deduction and Metalogic

LOG111

Natural deduction for propositional and first-order predicate logic with identity, model theory, and set theory. Includes metalogic and proofs of properties of formal proof systems.

Examen Facultatum, Basic Linguistics

EXFAC00SK

Introduction to phonetics, phonology, morphology, syntax, and semantics. Provides a theoretical and practical foundation for language-related studies.

Examen Philosophicum

EXPHIL-MNSEM

Philosophy of science, ethics, and fundamentals of logic and argumentation theory. Develops critical and analytical competence relevant to one's own field of study.

Essay →

Functional Programming

INF122

The functional paradigm with recursion, higher-order functions, and immutable data structures. Programming in a functional language such as Haskell.

Haskell

Introduction to Cognitive Science

KOGVIT101

Interdisciplinary overview of cognition from computer science, linguistics, psychology, and philosophy. Covers knowledge representation, reasoning, learning, language, perception, and consciousness.

Essay →

Introduction to Philosophy of Mind

FIL105

Modern philosophy of mind and the relationship between mental and physical properties. Covers behaviorism, identity theory, functionalism, and the problem of consciousness.

Introduction to Formal Logic

LOG110

Introduction to propositional logic and first-order predicate logic. Emphasis on translation from natural language to formal logical language, truth tables, and the tree method.

Introduction to Programming

INF100

Practical introduction to programming using a modern language. Covers variables, expressions, control flow, arrays, and file handling.

Python

Knowledge Representation and Reasoning

INFO282

Logic-based knowledge representation and various forms of reasoning including deductive, default, and abductive reasoning. Also covers reasoning about knowledge, action, and change in multi-agent systems.

Prolog

Object-Oriented Programming

INF101

Continuation of programming with focus on code quality. Covers abstractions, object-oriented design, inheritance, polymorphism, generics, and testing.

Java

Language and Cognition

LING122

Cognitive science related to linguistic knowledge, language acquisition, and language use. Explores the psychological and cognitive aspects of language.

Statistics for Cognitive Science

DASPSTAT

Statistical methods and analysis for cognitive science. Covers descriptive statistics, hypothesis testing, and data analysis for cognitive experiments.

Specialization

Advanced Programming

INFO135

Data structures, algorithms, object-orientation, thread programming, and efficiency analysis. Also covers standards for structured data such as JSON, RDF, and XML.

Python

Data Management

INFO125

Theory and practice of relational and NoSQL databases. Covers data modeling, normalization, query languages, and indexing principles.

SQL

Formal Methods in Information Science

INFO102

Discrete mathematics and formal methods with emphasis on logic, set theory, and proof techniques. Foundation for further studies in computer science and information science.

Fundamental Algorithms for Artificial Intelligence

INFO283

Fundamental algorithms and techniques used in artificial intelligence, including search algorithms, heuristic methods, and optimization.

PythonMachine Learning

Introduction to Artificial Intelligence

INFO180

Theoretical and practical foundations of AI including state-space search, knowledge representation, inference, and machine learning.

PythonSearch Algorithms

Machine Learning

INFO284

Supervised learning with deep learning, unsupervised learning including clustering, and reinforcement learning. Practical applications in data analysis.

PythonMachine Learning

Replaces INFO283

Elective

Introduction to Innovation and Entrepreneurship

MCB201

Innovation and entrepreneurship theory with practical methodology. Development of business models through participatory design and concept development.

Essay →

Bachelor's in Artificial Intelligence

Also counts towards this degree:

Introduction to Artificial Intelligence INFO180
Introduction to Programming INF100
Knowledge Representation and Reasoning INFO282
Machine Learning INFO284

Ethics in Artificial Intelligence

AIKI210

Explainable AI (XAI), fairness, algorithmic accountability and trust, artificial morality, and responsible use of AI. Includes practice in popular dissemination of AI.

AI Ethics

Essay →

Artificial Agents

AIKI110

Introduction to artificial agents and multi-agent systems, including agent modeling, autonomous agent architecture, control systems, and basic robotics.

PythonROS2

Formal Methods for Information Science

INFO104

Elementary logic and set theory, relations, functions, graphs, and trees. Covers combinatorics, probability, information theory, and computability.

Replaces INFO102

Master's in Information Science

Research Topic in Artificial Intelligence

INFO381

Advanced topics in AI including artificial life, multi-agent systems, machine learning, neural networks, genetic algorithms, and natural language processing.

PythonMachine Learning

Research Topic in Networks and Text Analysis

INFO371

Methods for analyzing text and network data, including language models, document clustering, supervised machine learning, and network models.

PythonNLP

Research Methods in Human-Computer Interaction

INFO362

Theory and practice of computer-supported cooperative work (CSCW) and groupware systems. Covers collaboration technologies, social networks, and evaluation of cooperative solutions.

Logic for Multi-Agent Systems

INFO382

Formal logics for reasoning about multi-agent interaction, including epistemic logic, temporal logic, coalition logic, and alternating-time temporal logic.

Additional courses

Informatics Project II

INF319

Advanced project work in informatics carried out with a supervisor. Includes programming, documentation in the form of a technical report, and an oral presentation.

PythonNLP

Essay →