Postdoctoral Researcher in Artificial Intelligence/Machine Learning Engineering (Academic Research Software Engineer)

Postdoctoral Researcher in Artificial Intelligence/Machine Learning Engineering (Academic Research Software Engineer)

Aalto University

Otaniemi, Finland

Are you more of a programmer than your researcher colleagues? Are you more of a researcher than commercial developers? Do you want a career that involves research and science but isn't the academic tenure track? The Academic Research Software Engineer position is your next step on that path.

This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your own novel research results and publishing them.

You will work in a research group and be affiliated with Aalto Scientific Computing (ASC). You'll serve as an intermediary between the two. Compared to the staff of ASC, you will be directly based in a research group, much more involved in day-to-day research, follow projects for a much longer period, and more involved in publications. Compared to a typical academic position, you will have a joint affiliation with ASC and get extra training in research engineering. There will be less emphasis on novel results for the sake of novelty, and more on applying and developing best practices in the way the research is done.

In this position, you will:

• Serve as the local research software engineer for your research group(s) and improve the use of computing among all group members.
• Stay up to date with the latest HPC, AI, and general computing/data management practices, evaluate latest developments, and implement whatever is most suitable.
• Possibility to take part in publications as a research engineer.
• Provide one-on-one and group research support from a software, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently.
• Provide good role models of best open science practices.
• As needed and depending on interest, teaching and other research infrastructure support.

General qualifications: As expected for a computational-science postdoc or doctoral student position in your field, with a special focus on high-quality computation and data management

This particular call emphasizes general AI skills and interest to take part in MLOps, including (but not limited to) performance tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference. We seek to improve our AI and machine learning work by bringing in tools to assist in training and inference, integrated with our cluster. You don't need special knowledge already when applying - general knowledge of machine learning practices is enough, and you'll learn more later.

Important skills:

• Desire to mentor and work with other researchers with understanding and compassion.
• Ability to tackle any problem with a researcher's mindset and a developer's passion for technology.
• Good communication and organizational skills, independent working style as well as flexibility in changing situations.
• Experience or knowledge of the principles of open source software, open science, and software development tools such as version control.
• Good skills and experience in written, spoken, and collaborative work in English.

Apply NowDeadline 29 September