Qualitative Evaluation Engineer

at  GN Group

At Jabra’s System Verification department, we have built a solid and qualified group of teams that excel in evaluating our solutions with quantitative research methods.
With this position, our goal is to focus on qualitative methods for formative, evaluative, and summative research around our Audio-Video products and solutions, especially in the context of Early Adopters Testing, to complement our existing test and verification activities.
We are looking for a Qualitative Evaluation Engineer with a focus on Audio-Video hardware and software solutions, to assist bring to light challenges and suggest improvements to our products, and to assess the performance and impact of our solutions with a user-centric approach.
Although this position is focused on qualitative methods, experience in applying quantitative methods is also relevant and would be a positive attribute.
The team you will be part of

The System Verification department is organized of several teams with the common goals of testing, verifying, and informing design decisions for our Audio-Video products:

• The Design Verification Test (DVT) team focuses on instrumental lab measurements;
• The Perceptual Evaluation Team focuses on controlled subjective measurements and human perception;
• The Early Adopters Test team focuses on user-testing and collecting open feedback on issues and improvement suggestions.

All teams run on highly optimized and modern automated workflows, where we aim to focus our time on the specialized work and not on administrative tasks.

Your contribution is appreciated, and you will:

• Address user behaviour and attitudes by designing hypotheses and leading studies/experiments
• Support cross-functional stakeholders at all stages of product testing with guidance on investigation needs and study design
• Apply a wide variety of direct qualitative data collection methods, such as surveys and interviews
• Conduct objective data analysis using qualitative research methods supported by statistical principles
• Generate and communicate results/insights that both inform and evaluate product design

To succeed in the role, we imagine that you have the following qualifications:

• Bachelors, Masters, or PhD in human behaviour and/or Engineering related fields (Experimental Psychology, Engineering Psychology, Sociology, Human Factors Engineering, Data Science, HCI, etc.)
• Skilled in developing and implementing research plans including formulation of research hypotheses
• Experience with a range of qualitative data collection methods (direct and indirect) including but not limited to:
• Direct methods like interviews, surveys, focus groups, contextual inquiry, and diary studies
• Indirect methods like text mining and document analysis
• Ability to translate and communicate complex research results and insights to cross-functional stakeholders in an approachable way with focused presentation slides and data storytelling

Additional qualifications that could be beneficial for this role can include:

• Proficient in conducting mixed-methods research that integrates both qualitative and quantitative approaches)
• Experience using Natural Language Processing techniques like LLMs for sentiment analysis and pattern identification in large datasets
• Visual storytelling and data visualization
• Ability to contribute to and draw from objective and perceptual testing when relevant
• Interest in Audio and/or Video processing, products, or technologies

We encourage you to apply
Even if you don’t match all the above-mentioned skills, we will gladly receive your application if you think you have transferrable skills. We place importance on an attitude and commitment that reflect our central tenets, which we believe contributes to beneficial progress for all members of our team and the organization.
We are committed to an inclusive recruitment process
All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.
Should you have any special requirements for the Interview please let the hiring manager upon accepting invitation to interview.
How to apply?
Use the ‘APPLY’ link no later than November 15th. Applications are assessed on a continuous basis, so don’t wait to send yours.
On a time crunch? Feel free to only submit your up-to-date CV including a few sentences outlining your motivation for applying – quick and easy.
If you would like to know more about the position, please contact Head of System Verification Nuno Beleza Freire on +45 45 75 02 58 between 10-16 on business days or by email on nuno@jabra.com.
Join us in bringing people closer
GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Guided by human inspiration and fueled by technological progress, we provide advancements that elevate auditory and visual perceptions. Our initiatives enable people with hearing loss to handle practical life situations, enhance cooperative efforts in enterprises, and supply satisfying audio experiences for game lovers.
We hope you will join us on this journey and look forward to receiving your applicatio

To succeed in the role, we imagine that you have the following qualifications:

• Bachelors, Masters, or PhD in human behaviour and/or Engineering related fields (Experimental Psychology, Engineering Psychology, Sociology, Human Factors Engineering, Data Science, HCI, etc.)
• Skilled in developing and implementing research plans including formulation of research hypotheses
• Experience with a range of qualitative data collection methods (direct and indirect) including but not limited to:
• Direct methods like interviews, surveys, focus groups, contextual inquiry, and diary studies
• Indirect methods like text mining and document analysis
• Ability to translate and communicate complex research results and insights to cross-functional stakeholders in an approachable way with focused presentation slides and data storytellin

Additional qualifications that could be beneficial for this role can include:

• Proficient in conducting mixed-methods research that integrates both qualitative and quantitative approaches)
• Experience using Natural Language Processing techniques like LLMs for sentiment analysis and pattern identification in large datasets
• Visual storytelling and data visualization
• Ability to contribute to and draw from objective and perceptual testing when relevant
• Interest in Audio and/or Video processing, products, or technologie