Research assistant in Machine Learning with a focus on in vitro fertilization (IVF)

Organisation/Company

Faculty of Technology and Society

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Application Deadline

6 May 2026 - 12:00 (UTC)

Country

Sweden

Type of Contract

Temporary

Job Status

Part-time

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Malmö University is an innovative, urban, and internationally-oriented academic institution that, thanks to its committed and experienced staff, contributes to societal development. Here, teachers, researchers, and other employees with various competencies work together to conduct high-quality education and research. All professional categories and roles are important. You are welcome to apply for a job with us!

Here you can learn more about what it's like to work at Malmö University: Work with us

We are looking for   

Research assistant in Machine Learning with a focus on in vitro fertilization (IVF) at Faculty of Technology and Society.   

Work duties   

• Running cutting-edge research in Machine Learning (ML), focusing on Deep learning and on-device Large Language Model (LLM), and optimization algorithms.
• Collaborating with our team to transform research insights into practical, impactful solutions.
• Staying abreast of the latest advancements in ML, transformers, graph neural networks, fine-tuning techniques, and inference and optimization.
• Writing academic reports
• Delivering high-quality work at a fast pace, understanding the importance of time and speed in a startup environment.   

Qualifications   

Specific requirements for this position:   

• A bachelor's degree or master's degree in computer science or related topics
• A strong understanding of machine learning algorithms, deep learning, and data analytics.
• Hands-on experience in developing and deploying ML infrastructure, with expertise in PyTorch, or TensorFlow.
• Deep understanding of systems engineering with a focus on building scalable solutions for large-scale data processing and model training.
• Experience in working with multimodal or vision models.
• Experience in working with optimization approaches.
• Good experience in writing academic reports.
• Ability to communicate complex research findings in a clear and impactful manner.
• A talent for solving problems creatively and effectively.
• Demonstrated capability to independently lead research projects with end-to-end responsibility.

The following would be of benefit for the position:   

•  Have worked previously in the healthcare domain, in particular in vitro fertilization (IVF) laboratory.
• Being familiar with IVF procedures and data in IVF laboratories.

In addition to formal competence, University employees must possess the personal capacities necessary to perform the duties of the position well and to represent the University in the best possible way.   

Faculty, Department and Research environment   

The Faculty of Technology and Society conducts education and research with a focus on technology and natural sciences at the two departments of Computer Science and Media Technology and Materials Science and Applied Mathematics. The faculty collaborates with companies and other organizations with the aim of raising the level of expertise, creating new products, developing businesses and giving students an early connection to their future working life. Our research collaborations and employees from a large number of countries give the activities an international character. More information about the faculty can be found here: Link

The Department of Computer Science and Media Technology offers research-linked education at first-cycle, second-cycle and doctoral levels. The department conducts research in computer science, information systems, software engineering and media technology. We are interested in research and education areas such as artificial intelligence, digital media, e-health, internet of things and game development. Link

The research centre studies both social and technological aspects to promote sustainable digitalisation. The aim is to contribute to how the opportunities of digitalisation can be used in a sustainable way and to develop knowledge and solutions for how digitalisation can support the development of a more sustainable society. Link

Further information   

The employment is 20% and limited to 4 months.

In our recruitment work, Malmö University has taken a stand regarding recruitment channels and marketing. We therefore decline all offers of advertising and recruitment assistance in connection with this advertisement.   

You can read more about the benefits of working in Sweden here: https://sweden.se/work-in-sweden

Application   

You apply for this position via Malmö University's recruitment system by clicking on the "Apply" button. As an applicant, you are responsible for ensuring that your application is completed in accordance with the job advertisement, and that it is submitted to the University no later than 2026-05-06. The application must be written in Swedish, English or one of the Scandinavian languages. As an applicant, you are responsible for the application and its appendices being translated.   

The application must include: 

• Curriculum Vitae 
• Copies of relevant degrees and certificates 
• A brief account on a maximum of one page, where you describe your experience, background and competence related to the applied position that makes you the most suitable candidate 

Miscellaneous   

Prefekt, Bahtijar Vogel, bahtijar.vogel@mau.se , 040-6657012
Docent, Reza Khoshkangini, reza.khoshkangini@mau.se , 040-6658273

Malmö University is a workplace and higher education institution that is characterised by an open and inclusive approach, where gender equality and equal terms add value to our activities.   

Malmö University applies individual salary setting.    

Start date   

May 15, 2026

Union representatives   

SACO-S Jenny Vikman, jenny.vikman@mau.se

OFR/ST Jelena Hovstadius, jelena.hovstadius@mau.se

We are looking forward to receiving your application! 

Website

https://web103.reachmee.com/ext/I005/1015/main?site=7&validator=e5819a4704cd849…

Research Field

Computer science

Education Level

Bachelor Degree or equivalent

Languages

ENGLISH

Level

Basic

Research Field

Computer science

Years of Research Experience

None

Number of offers available

1

Company/Institute

Malmö universitet

Country

Sweden

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