Research engineer

About the workplace

The lab’s current facilities have enabled innovative research across a broad range of scientific fields, but mobile equipment is increasingly in demand. Researchers want to study people and environments in their natural contexts, such as homes, schools, workplaces, and field settings. To meet this need, the research infrastructure must become more flexible and portable, so that it can be brought to the research subject rather than the research subject coming to the equipment.

As part of a recently awarded RJ grant called GoLab, the Humanities Lab needs to recruit new expertise to support a shift toward more mobile, “on-the-go” data collection, which is increasingly requested by users. 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. Read more about the lab’s facilities for eye tracking here: https://www.humlab.lu.se/equipment-expertise/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.

We offer

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. Read more on the university's website about being employed by us Work for us

Duties

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

Qualifications

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 

Additional information

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.

Application procedure

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.