While part of the group that developed the Norwegian Career Assessment Matrix (NOR-CAM), I strongly advocated for the development of an “automagic” CV system. This was based on the fact that I (and many other researchers) spend too much time working on formatting our CVs for new templates. All funders have their own CV templates, which often change from year to year. Copying and formatting the same information over and over is (literally) a waste of time, so there is room for improvement.

Speaking at NARMA

Now, as I was preparing for speaking publicly at the annual NARMA conference for research administrators in Norway, I thought I should use the opportunity to check whether NotebookLM could help me along the way. I have already seen that it can effectively create targeted biographies based on public listings for me, so I had hopes.

While my previous CV explorations with NotebookLM had focused solely on my public NVA listings as source material, I now also uploaded some of my previous CVs and material from my teaching portfolio.

And after loading a file with the ERC CV template next to the system, it created a CV for me in a few seconds that I would have otherwise spent hours tweaking.

In conclusion, given a constrained set of information, it is possible to use an LLM like NotebookLM to meaningfully help researchers. However, it requires reliable, well-sourced information!

Alexander Refsum Jensenius – ERC-style CV

PERSONAL DETAILS

Family name, First name: Jensenius, Alexander Refsum
Researcher unique identifier: ORCID: 0000-0001-6171-8743
URL for web site: http://people.uio.no/alexanje/

Education and key qualifications

  • 2008: PhD, Department of Musicology, University of Oslo (UiO), Norway.
  • 2005: MSc, Department of Architecture and Civil Engineering, Chalmers University of Technology, Sweden.
  • 2002: Cand.philol. (MA), Department of Musicology, University of Oslo, Norway.
  • 2001: Cand.mag. (BA), Musicology and Mathematics, University of Oslo, Norway.

Current position(s)

  • 2025 – Present: Director, MishMash Centre for AI & Creativity, University of Oslo, Norway.
  • 2017 – Present: Director (since 2022) / Deputy Director (2017–2022), RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Norway.
  • 2014 – Present: Professor (Associate Professor 2014–2019), Department of Musicology, University of Oslo, Norway.

Previous position(s)

  • 2013 – 2016: Head of Department, Department of Musicology, University of Oslo, Norway.
  • 2012 – 2014: Researcher (20%), Department of Medicine, Children’s and Women’s Health, NTNU, Norway.
  • 2008 – 2012: Postdoctoral Researcher, Department of Musicology, University of Oslo, Norway.
  • 2008 – 2011: Postdoctoral Researcher (20%), Norwegian Academy of Music, Oslo, Norway.

RESEARCH ACHIEVEMENTS AND PEER RECOGNITION

Research achievements (Selected 10 outputs):

  1. Jensenius, A.R. (2022). Sound Actions: Conceptualizing Musical Instruments. The MIT Press..
    • Significance: This monograph establishes a comprehensive theoretical framework for music technology and instrument action, bridging engineering and humanities.
  2. Jensenius, A.R., et al. (2010). “Musical Gestures: Concepts and Methods in Research”. In Musical Gestures: Sound, Movement, and Meaning. Routledge..
    • Significance: This highly-cited chapter clarified the relationship between motion and action, classifying music-related body motion.
  3. The Musical Gestures Toolbox (Software)..
    • Significance: An open-source suite for video analysis and visualization (Max, Matlab, Python) used globally for movement research.
  4. Oslo Standstill Database (Dataset)..
    • Significance: An extensive database of human micromotion recordings supporting multiple publications and open research practices.
  5. Jensenius, A.R. (2018). “Methods for studying music-related body motion”. In Handbook of Systematic Musicology. Springer-Verlag..
    • Significance: A foundational methodological work finding its way into university curricula worldwide.
  6. Jensenius, A.R. (2021). “Best versus Good Enough Practices for Open Music Research”. Empirical Musicology Review..
    • Significance: Advances knowledge in FAIR data and open science principles within the musicology domain.
  7. Computer-based Infant Movement Assessment (CIMA) (Clinical Tool)..
    • Significance: Implementation of movement analysis tools in a clinical setting to help diagnose infants with cerebral palsy.
  8. The MusicLab Research Concert Series (Methodology)..
    • Significance: A novel platform for real-world data collection from musicians and audiences in concert settings.
  9. Jensenius, A.R., ed. (2024). Sonic Design: Explorations Between Art and Science. Springer Nature..
    • Significance: An anthology exploring the intersections of artistic practice and scientific investigation in sonic design.
  10. Zelechowska, A., … & Jensenius, A.R. (2020). “Headphones or Speakers? Effects on Spontaneous Body Movement”. Frontiers in Psychology..
    • Significance: Contributes novel experimental data to music psychology regarding spontaneous human movement to rhythm.

Peer recognition:

  • University of Oslo’s Innovation Award (2018) for work developing RITMO as an interdisciplinary center.
  • Open Data Champion, SPARC Europe (2018) in recognition of open science leadership.
  • Elected Member, Young Academy of Norway (2015).
  • Best Presentation/Paper Awards: Nordic Sound and Music Computing (2021), SMC (2020), Audio Mostly (2020, 2025), Web Audio Conference (2019).

ADDITIONAL INFORMATION

Career breaks and diverse career paths:

  • 2011 & 2013: Paternity leaves (2 x 6 months).
  • Jensenius has pursued a highly interdisciplinary path, holding degrees in both Musicology and Applied Informatics, which informs his cross-domain research approach.

Other contributions to the research community:

  • Institutional Leadership: Served as lab director, head of department, and director of a Centre of Excellence (RITMO), managing large-scale interdisciplinary teams.
  • Academic Service: Chair of the NIME Steering Committee (2011–2022); Chair of the EUA Subgroup on FAIR Data (2022–2024).
  • Infrastructure Development: Co-founded the fourMs Lab, a state-of-the-art facility for motion capture and physiological sensing.
  • Mentorship: Supervised or mentored 26 Master’s students, 19 PhD fellows, 4 Postdocs, and 2 MSCA fellows across departments like Informatics, Psychology, and Media Studies.

Thanks to NotebookLM for creating the CV and to Grammarly for checking the grammar.