# Research Internship - Master’s level Cycle 4 (Start Feb2027) at NXAI

> Hybrid · Austria · Intern · Other · open. Source: https://alderhq.app/jobs/recruitee%3Anxai%3A2707895 (read 2026-11-11).

## Facts (observed)

- Company: [NXAI](https://alderhq.app/companies/nxai)
- Location text: Linz, Oberösterreich, Austria
- Where it can be done from (inferred): Hybrid · Austria (evidence: "Location: Linz, Oberösterreich, Austria")
- Posted: 2026-08-12 (91 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://career.nx-ai.com/o/research-internship-masters-level-cycle-4-start-feb2027

## Pay and sponsorship

- Posted pay: €31k per year (from the listing's pay field)

## Description (the employer's text)

NXAI is an Austrian AI research company located in Linz, where advanced research is transformed into real-world impact. Our focus is on next-generation xLSTM models and their industrial applications. Together with a strong network of partners, we are creating a leading center for AI innovation in Linz — and we are looking for motivated Master’s students to join us on this journey.

We offer a unique part-time, 20h / week internship opportunity for Master’s students to join our small, elite team at the forefront of AI research. You will contribute to ongoing research projects, collaborate with senior researchers and engineers and support the team by providing structured deliverables that advance our work. The internship will start anytime from January 2027 until August 2027.

Only a very limited number of spots are offered to exceptional individuals who are ready to push boundaries. If you are driven by the ambition to shape the future of technology, this is your chance to turn cutting-edge research into real-world solutions.

Application deadline: 30.11.2026

### Your responsibilities

Contribute to literature reviews and structured state-of-the-art surveys.

Implement and evaluate algorithms.

Support experiments, benchmarking and reproducibility checks.

Document results clearly and provide concise reports.

Collaborate with researchers in developing and testing hypotheses.

Prepare short presentations or summaries of findings for internal meetings.

### Requirements

### What you bring to the table

Enrollment in a Master’s program in AI, Computer Science, Data Science, Mathematics, Physics, or related fields.

Completion of at least one term of Master’s-level coursework.

Solid background in machine learning fundamentals and applied mathematics.

Strong programming skills.

Ability to communicate results clearly in writing and presentations.

Self-driven, organized and capable of working both independently and in a team.

### What you’ll get

Direct collaboration with leading ML researchers.

Exposure to cutting-edge topics in machine learning and AI applications.

Opportunity to contribute to real research outputs.

Mentorship, feedback and career development support.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Anxai%3A2707895 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.