Why this grade This listing scored 46/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Description depth 8 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
and are hiring a Three-year PhD in Physical AI; onsite in Aarhus, Denmark.
Topics: Vision–language–action models, world models, reliable adaptation and efficient AI, RL.
Background: Relevant master’s degree and strong Python/PyTorch experience.
Deadline: 1 November 2026.
Start: January 2027 or later.
Contact: [email protected].
Official application link: https://phd.tech.au.dk/for-applicants/apply-here/saeropslag/phd-position-in-physical-ai-adaptive-foundation-models-for-robotics?utm_source=chatgpt.com
Apply for this role Opens phd.tech.au.dk — verified as the employer's own application page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Keep looking
Similar remote roles, still open
Get new “the A3 Lab” roles by email
One email a day with what is new in "the A3 Lab". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 09 Oct 2026 Hacker News first sighting
Seen on 1 board over 0 days.