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

NXAI; Linz; On-site; EUR 8,900 - 13,000; Part time

Benefits offered by this job

Mentorship and career development

Direct collaboration with ML experts

Exposure to cutting-edge research

Job summary

NXAI in Linz, Austria, offers a unique part-time internship (20h/week) for Master’s students to join a small elite team at the forefront of AI research. The role starts anytime from January 2027 until August 2027 and involves literature reviews, algorithm implementation, experiments, and documentation.

Successful candidates will collaborate with senior researchers and engineers, receive mentorship, and contribute to real research outputs while advancing their skills in machine learning and

Qualifications

• 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.

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.

Skills

Machine learning basics

Applied mathematics

Programming proficiency

Communication skills

Independent and team work

Education

Master’s program in AI/CS/Data Science/Math/Physics

Completed at least one term of Master’s coursework

Tools

Python

Job description

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.

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.