Research engineer

Research Engineer

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 46,000 students and 8,500 staff based in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the human condition.

The Humanities Lab needs to recruit a research engineer with a background in computer vision and machine learning to support hardware installation and the development of analysis tools for mobile eye tracking.

The Humanities Lab is based at the Faculties of Humanities and Theology (HT), and its physical premises, including offices and experimental studios, are located on the HT campus at the Centre for Languages and Literature (SOL) and the LUX building. The lab has around 20–25 employees and is an international environment with multiple visiting researchers each semester. We hold weekly meetings where all staff contribute items to the agenda.

As a Swedish government agency, Lund University offers attractive employment terms, generous vacation benefits, favourable pension schemes. We also have possibilities for flextime and remote-work agreements, which create good conditions for maintaining a healthy work–life balance.

You have experience with eye tracking, computer vision, and machine learning, and will work to support the development of new analysis tools for mobile eye-tracking data. You will work closely with the lab's eye-tracking experts to develop a pipeline for the automated analysis of a broad range of data from experiments using wearable eye-tracking systems.

The work tasks include:

• Programming and system architecture for analysis tools
• Evaluating methods used in the tools, both for selecting methods and for verifying the robustness of the implementation
• Collecting evaluation and demo data
• Preparing documentation
• Authoring scientific publications

You must have a PhD in computer science, computer vision, or a closely related field. The degree must have been completed no later than the start date of the employment.

You must have documented experience of:

• Eye tracking, preferably wearable eye tracking
• Computer vision
• Machine learning
• Programming/software development:
  Python, as well as system/tool architecture and code refactoring
• Automated analysis of data from wearable eye-tracking systems
• Developing open-source tools for the collection or analysis of eye-tracking data
• Good communication skills in Swedish or English, both spoken and written

Great emphasis will be placed on personal suitability. You are expected to take responsibility for your tasks and to work in a structured and careful manner. You should be able to collaborate with colleagues at different levels.

Further desirable qualifications are:

• Being the lead author of scientific publications
• Experience working in a multi-user lab
• Experience working independently, as well as developing methods and collaborating in a team

The employment is permanent, full-time, with a start date of 1 January 2027 or by agreement. The project runs until 31 December 2029 at the latest.

Applications must be submitted via the university's recruitment system. The application must include a cover letter explaining why you are interested in the position and how the position matches your qualifications. The application must also include a CV, degree certificate or equivalent documentation, and any other documents you wish to submit in support of your application, such as copies of transcripts, contact details for references, letters of recommendation, etc.