Research engineers/data scientists with AI/ML competence - Hiring in process/Finished, not possible to apply

In recent years the ongoing digitalization of society has increasingly affected the methodologies, approaches and critical perspectives of the humanities and social sciences.

Digital Humanities (DH) is an area of scholarly activity at the intersection of computing or digital technologies and disciplines of the arts, humanities and social sciences. It includes the systematic use of digital resources in the humanities, as well as the analysis of their application. DH is based on interdisciplinary collaboration and a willingness to work across disciplinary, institutional as well as national boundaries.

The Centre for Digital Humanities and social science at Uppsala University (CDHU) leads and curates the digital transformation of the humanities and social sciences at the university. CDHU's assignments are threefold:

• research-initiating activities (seminars, workshops and major events) as well as support for individual projects and applications
• pedagogy and knowledge exchange, including initiating, developing and supporting education in Digital Humanities from master's level to doctoral researchers; and
• the development of a technical infrastructure to support research in the field of DH.

CDHU is currently governed by a director and supported by a deputy director and a research coordinator. The operation is supported by a steering board that spans distinguished professors across the disciplinary domains of Humanities and Social Sciences

For more information about CDHU, see: https://www.abm.uu.se/cdhu-eng

Duties
As a research engineer/data scientist, you will be responsible for supporting researchers and research projects in the humanities and social sciences that are connected to CDHU. You will work closely with other employees at CDHU, as well as with external researchers working at other departments. In addition to research support, the service also includes work with teaching/teaching support in the digital humanities, with a focus on Natural Language Processing (NLP) and/or Image Pattern Recognition (IPR) using Machine Learning/Deep Learning. You are also expected to participate in the ongoing infrastructural development for digital humanities at Uppsala University.

The main tasks are:

• Data curation, method implementation, analysis and visualization of arts, humanities or social sciences related datasets/unstructured data.
• Deployment, training and fine-tuning of AI models for detecting and classifying images and text in the context of research projects at CDHU.
• Implementation of relevant digital tools and methods (for example NLP/IPR, network analysis, Jupyter Notebooks etc).
• Teaching and training support in the broad field of Digital Humanities and social sciences.
• Implementation of research projects and digital research infrastructure development.

Requirements
We are looking for a candidate with an MSc in computer/systems science, data science, IT or equivalent. You have the ability to understand and navigate the problems and needs of researchers and to deliver technical solutions in terms of code, configurations and adaptations of existing tools and tool-chains. You have a genuine interest and curiosity in analyzing data and implementing technologies and methods relevant to humanities research and in participating CDHU’s activities. You also have:

• Documented experience of AI/ML (Deep Learning), with possible application to humanistic problems and issues, especially concerning image and text analysis and classification, as well as applying LLM and other foundation models to solving problems.
• Documented ability to navigate programming solutions and implementation of tools and methods.
• Documented experience/knowledge of working with Linux-systems, servers, Open Source code and repositories for code. Ability to work across disciplines and in collaboration with others.
• The ability to collaborate and to quickly adapt and familiarize yourself with new technical solutions, as well as to develop and supplement your own skills.

Additional qualifications

• Very good knowledge of the programming language Python.
• Fluency in the English language.
• Great importance is placed upon good communication skills, cooperative skills as well as commitment to inclusion, equality and diversity.
• A genuine interest and curiosity in analyzing data and implementing tools relevant to humanities research and in participating in CDHU’s activities.

Since CDHU as well as DH at large is under transformation, you need to be able to quickly adapt and familiarize yourself with new technical solutions, as well as be prepared to develop and supplement your skills. Great emphasis will be placed on personal qualities such as initiative, problem-solving ability, flexibility and the ability to work together.

Desirable/meritorious in other respects

• Documented ability of teaching or other pedagogical work, especially concerning the teaching of Python.
• Previous experience of working with or studies in digital or other humanities or social sciences.
• Experience of programming/data analysis platforms of particular relevance to researchers (e.g. Project Jupyter, R, MatLab).
• Previous experience of working with Swedish-language and/or historical datasets.
• Knowledge of other programming languages.
• Good knowledge of Swedish.
• Other pedagogical experiences and interests.

About the employment
The employment is a permanent position (6 months probationary employment may be applied). Scope 50-100 %. Starting date: 1st of August or as agreed. Placement: Uppsala. The employment is linked to CDHU, with a formal placement at the Department of ALM (Archival Studies, Information Studies and Museum and Cultural Heritage Studies) at Uppsala University.

For further information about the position please contact: Deputy Director for CDHU, Matts Lindström, matts.lindstrom@abm.uu.se; Anna Foka, Director for CDHU, anna.foka@abm.uu.se or Åse Hedemark Head of department ALM, ase.hedemark@abm.uu.se.

Please submit your application by 19th of May 2023, UFV-PA 2023/1507.

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