Research Assistant [6-Month Master’s thesis] | Cryptoasset Embedding Models

We are looking for an exceptional master’s-level candidate with a robust quantitative and computational background. If you are passionate about applying machine learning to cryptoassets, we encourage you to apply.

Candidates should possess:

• Experience in (deep) machine learning.
• Demonstrated expertise in the field of cryptoassets.
• Strong programming skills.
• Proficiency in database management.
• Fluency in English, both written and spoken.

To be eligible, candidates must be:

• Enrolled in a Masters program in an area related to the aims of the project, e.g. computer science, informatics, data science, or a related field.
• Eligible to work in the EU without additional visa sponsorship.
• Present in Vienna during an agreed-upon work schedule; this position is not eligible for remote work.

This opportunity offers the chance to contribute to an innovative project at the intersection of machine learning and cryptoasset analysis. We look forward to receiving your application.

We are pleased to offer a 6-month student employment opportunity at the Complexity Science Hub to work on an exciting real-world research project that will become your Master’s thesis. This role will be conducted in close collaboration with Iknaio Cryptoasset Analytics GmbH, providing a unique opportunity to gain industry-relevant experience. The position begins April 14, 2025, or as soon as possible thereafter; is limited to six months, part-time (20 hours per week) employment; and offers a gross monthly salary of €1,142.00.

Please apply by clicking the application button below. The application deadline is April 1, 2025, though may be extended as communicated here. Applications will begin review

Your application should include:

• A CV.
• A one-page vision letter outlining potential research questions and approaches to the topic.
• Any additional materials that demonstrate your experimental and computational skills.
• Certificate of enrollment of your university
• If you would like to have a letter of recommendation submitted in support of your application, please ask your recommender to send their letter directly to applications@csh.ac.at with the subject line “RA Masters – [applicant’s name]”

At CSH, we are committed to equal employment opportunities for all applicants. All employment decisions are based on job requirements, qualifications, merit, and organizational needs. We strongly encourage individuals from underrepresented groups to apply. For more details on data protection, please visit www.csh.ac.at/data-protection/.