Research Engineer- Application expert in Language technology - Hiring in process/Finished, not possible to apply

The Humanities Lab is looking for an application expert who will work with language technology methods and tools and act as a consultant for issues related to the collection, analysis, visualization, analysis or modeling of text material.

Description of the workplace
The Humanities Lab is an interdisciplinary research infrastructure for the entire Lund University located at the Joint Faculties of Humanities and Theology. More information about the Lab can be found on our website www.humlab.lu.se

The Lab is a dynamic environment that enables researchers to combine traditional and new methods, and to collaborate within and outside the university to meet the scientific challenges that await to understand, explain and improve the human condition. The Lab has about 20 employees and has offices and labs at the Centre for Languages and Literature (SOL) and LUX. The employees have different disciplinary backgrounds and work as teachers, researchers, research engineers, programmers and administrators. 

Many research challenges concern text - collection and analysis of text material, visualization, or modeling. It involves everything from making manuscripts machine-readable to linking text to geographical locations through GIS, predicting future words in a large material, extracting information on how a keyword's use changes over time, and modeling language management.

The Humanities Lab is a certified Knowledge Centre within the European Consortium European Research and Infrastructure Consortium Common Language Resources and Technology Infrastructure (CLARIN ERIC) and a node in the Swedish national consortium for language technology, the Nationella Språkbanken (Swe-Clarin).

To meet the rapidly growing needs for support, guidance and project work, increased expertise is required especially in areas focusing on larger amounts of data such as text visualization, text extraction, subject modeling, automated information extraction, Natural Language Processing (NLP) and methods based on machine learning such as deep learning and word vectors.

 Work duties and areas of responsibility
You will work with:

• method development and projects in text visualization, text extraction, subject modeling and automated information extraction, in collaboration with researchers from different disciplines; (eg language subjects, history, medicine, economics);
• contribute to the Lab's local work and work in Nationella Språkbanken and internationally in CLARIN ERIC; help coordinate resources;
• train users through courses and workshops with a focus on both theory and practice;
• act as a contact person towards the Lab's users, help to lock the right to any other devices inside and outside the lab; inform about updates and other changes in the lab;
• act proactively towards other groups and units at LU that work with language technology, language AI and machine learning (eg AI @ Lund, SFO for e-science eSSENCE, graduate school COMPUTE, LU's calculation center LUNARC);
  
  

Qualifications
You should

• have a degree (at least master's level) or documented background in a relevant subject (e.g, computer linguistics, digital humanities, computer science);
• have a good documented knowledge and practical experience of language technology, text visualization, subject modeling;
• have documented experience of developing applications in a suitable programming environment, e.g. Python;
• have documented experience in the production of linguistic resources for training and testing of models;
• have documented experience of visualization of and explanability in models.

Requirements for employment are:

• very good knowledge of Swedish and English;
• flexibility and pedagogical ability as the work requires collaboration with users with different levels of knowledge.

Additional qualifications for the position are:

• a doctoral degree in relevant subjects;
• practical experience of NLP applications, contextualized representations of languages (word vectors), and machine learning;
• experience from multi-user labs;
• work samples in the form of projects on github or colab.
  
  

How to apply
Applications are to be submitted via the University’s recruitment system. The application is to/should include a personal letter justifying your interest in the position and how it matches your qualifications. The application is to/should also include a CV, degree certificates or equivalent, work samples and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)