Bernt Matheussen
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Special advisor at Å energi
More than 20 years of experience as a technology developer, researcher, and leader in the renewable energy sector. Strong skills in software development (Python, C/C++), data modeling, hydrological forecasting, hydropower optimization, and machine learning. I have also contributed to developing business and technology strategies for various groups in Agder Energy – Energy Management and Trading. I have had many roles as project leader, group leader, etc. I find inspiration in working with intelligent people to develop models and technology that contributes to clean and green renewable energy.
Norwegian University of Science and Technology (NTNU)
Doctor of Philosophy (Ph.D.), Environmental Engineering Technology/Environmental Technology
January 1, 2000 – January 1, 2004
Å Energi
Special Advisor
January 1, 2023 – Present
Kristiansand, Agder, Norway
Agder Energi AS
Group leader Forecasting & Optimization group
May 1, 2019 – Present
University of Agder (UiA)
Researcher at Centre for Artificial Intelligence Research (CAIR) - University of Agder
January 1, 2017 – May 1, 2020
Grimstad
Agder Energi Kraftforvaltning AS
Head of hydrology and meteorology
January 1, 2014 – March 1, 2017
Agder Energi Kraftforvaltning AS
Head of R&D
August 1, 2007 – July 1, 2014
Agder Energi AS
Special Advisor at Agder Energi Kraftforvaltning AS
August 1, 2006 – May 1, 2019
SINTEF Energiforskning
Researcher
June 1, 2004 – June 1, 2006
NTNU
Research assistant
March 1, 2000 – June 1, 2004
Trondheim, Trøndelag, Norway
University of Washington
Research Assistant
January 1, 1998 – June 1, 1999
Generic Hydropower Optimization Using Deep Reinforcement Learning (GHO-DRL)
March 1, 2017 – Present
Joint research project between Agder Energi and the University of Agder, supported by the Norwegian Research Council.
Cultural Fit Analysis
The candidate has a strong background in academic research and energy sector roles, with a focus on environmental engineering, AI, and optimization. This aligns well with organizations that value deep technical expertise, research-driven innovation, and long-term project commitment. The candidate's experience is primarily within a specific industry (hydropower/energy) and research domain, which might indicate a focused career path. The target role of 'Software Engineer' is broad, and while the candidate has programming experience, the direct alignment with typical software engineering practices (e.g., agile methodologies, specific software development lifecycles, diverse tech stacks) is not explicitly detailed. The project 'Generic Hydropower Optimization Using Deep Reinforcement Learning (GHO-DRL)' shows a strong alignment with advanced AI/ML applications, which could be a good fit for innovative tech teams. However, the lack of diverse project types or explicit mention of collaborative software development environments might suggest a more specialized cultural fit.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Group leader, Head of R&D) and research positions suggests strong analytical, problem-solving, and project management skills. The description of working on a Ph.D. and research projects implies self-motivation and an ability to work independently. However, specific examples of collaboration, communication, or stress handling are not explicitly detailed in the provided data.