My department needs to hire a person to teach a course on web programming for the autumn semester (July 1 – December 31, 2005). It’s a fulltime, six-month position as an associate professor (f¯rstelektor), with a minimum of 25% research (of your choice), and that single course to teach – about six hours contact time a week for 12-15 weeks of the semester plus some advising. The rest of your time is yours, for your own research. Last year the course had 17 students, and we’re expecting about the same next semester. Since it’s a research position, we really want someone with a PhD, but might consider someone who’s close to completing a PhD.

The course to be taught involves XML and PHP, and it’s a really a humanities computing kind of course, though a computer scientist might also be a good match for the job. The major compulsory activity last year was building a web application to query an XML-tagged text by Shakespeare. So far the course has been largely practical, but we’ve considered making it more theoretical, and are interested in ideas for developing the material. You’d need to teach in a Scandinavian language or in English. And move to Bergen, Norway for a semester, if you don’t already live here.

If you’d be interested, write me an email at jill.walker@uib.no and I’ll answer any questions and/or let you know when the job’s properly advertised. Please pass this on to anyone you know who might be interested!


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. Yusuf

    A six month stint. Could be interesting. How much did you say it paid 😉

    17 students. Ah, what a luxury. My largest class had 700. I am teaching “game design” and “game programming” to 30 students these days which works nicely.

Leave A Comment

Recommended Posts

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]

Don’t do a systematic review if you’re in the humanities

This paper is a great example of why you probably shouldn’t use a systematic literature review for a theoretical and conceptual research question like “How does artificial intelligence affect the perception of authenticity and aura in art?” However, if you’re looking for an annotated list of 48 recent articles about […]