(Senior) Machine Learning Engineer, Faculty of Humanities, University of Copenhagen

The University of Copenhagen, Faculty of Humanities, is looking for one machine learning engineer, starting as soon as possible. A new Centre for Digital and Computational Humanities has been recently established with the goal of fostering and supporting research across all the Faculty of Humanities.

The position is permament and full time.

Job description
The Centre for Digital and Computational Humanities serves as a hub of expertise across the Faculty of Humanities on a range of techniques inclusing software engineering, machine learning, data science, HPC and large-scale data processing. We work in tandem with researchers from all the Faculty to push the boundaries of computational research in the Humanities. The aim of the Centre is to collaborate with other groups at the Faculty in ambitious projects with a significant computational component. Other activities include the provisioning and management of IT infrastructure, competency building, and fostering interdisciplinary collaboration. The Centre ambitions to rapidly position itself at the forefront of the application of computational methods in the Humanities. The Centre maintains strong ties with other groups at the University, including the Center for Social Data Science and the Faculty of Social Sciences, the Department of Computer Science, and the Pioneer Centre for AI [www.aicentre.dk].

The position of machine learning engineer is open to applicants with some (Machine Learning Engineer) or several years of experience (Senior Machine Learning Engineer).

You will be expected to:

• lead on the design and development of novel machine learning applications;
• evaluate, monitor, and maintain ML applications in production;
• supervise junior staff;
• autonomously coordinate your projects;
• participate in the Centre’s relevant activities and other relevant networks;
• contribute to the organisational and administrative work of the Centre.

You will be guaranteed that a minimum of 20% of your time will be devoted to a project of your choice, in agreement with the head of the Centre and aligned with the Centre’s goals. You will have the possibility to author in code and data releases, and academic publications.

You will work closely together in a team consisting of three full-time senior members, which is expected to grow rapidly in the forthcoming years, and develop collaborations with other groups of developers at Faculty and University level.

Your qualifications
We are looking for a candidate with:

• strong machine learning skills, particularly with neural networks and large language models;
• strong Python coding skills;
• strong competences in the evaluation, documentation, and release of machine learning data and models, including in open source;
• experience with at least one machine learning framework, e.g., PyTorch;
• experience with vector databases;
• experience with containers (e.g., Docker);
• a cooperative attitude and interest in working collaboratively with other developers, researchers and external stakeholders;
• a professional command of English and good presentation skills.

We look favourably at candidates with:

• a PhD in Computer Science, Machine Learning, Data Science, Digital and Computational Humanities, or related fields;
• an interest in cultural heritage or any domain in the Humanities;
• experience with machine-assisted software development (e.g., copilot);
• experience with data processing and augmentation for machine learning;
• experience with HPC and/or large-scale data processing.

Please consider applying even if you do not tick all the boxes: we fully expect you to learn new skills on the job as well.

Terms of appointment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State and is classified after qualifications as senior adviser (specialkonsulent). The salary can be negotiated based on qualifications. We invite everyone regardless of personal background to apply for the position.

Application

Applications must be submitted online in PDF or Word format. Click on the “Apply now” button at the bottom of this advertisement to apply

Applications may be written in English and must include the following attachments:

1. A short letter of motivation of 1 page.
2. A detailed CV.
3. Documentation of qualifications (exam certificates and, if applicable, PhD diploma). Diplomas and certificates can be in English or any Scandinavian language.
4. An example research software or application you worked on in the form of a link to a publicly accessible repository. In the case of a collaborative effort, please clarify your contributions. If available, please send your software portfolio instead.

Additional information about the position can be obtained from Prof. Giovanni Colavizza, email: [email protected].

The deadline for applications is 23:59 [CET] on January 27, 2025.

Any applications or additional material submitted after the deadline will not be considered.

We want to reflect the surrounding society and encourage everyone, regardless of personal background, to apply for the position.

The University of Copenhagen (KU) is in the process of implementing a new joint administrative organisation, which will come into force on 1 March 2025.

For further information, you can read more here