Research assistant in Machine Learning

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   

Faculty of Technology and Society

The Faculty of Technology and Society conducts education and research with a focus on technology and natural sciences at its two departments: the Department of Computer Science and Media Technology, and the Department of Materials Science and Applied Mathematics. The faculty collaborates with companies and other organizations with the aim of enhancing skill levels, creating new products, developing operations, and providing students with early connections to their future careers. Our research collaborations and staff from a large number of countries give the faculty an international character. More information about the faculty can be found here: Link

Department of Computer Science and Media Technology

The Department of Computer Science and Media Technology offers research-linked education at both undergraduate and advanced levels, as well as doctoral studies. Research at the department is conducted in computer science, information systems, software engineering, and media technology. Some of the areas we are interested in within research and education include artificial intelligence, digital media, e-health, the Internet of Things, and game development. The department has over 80 teachers and doctoral students, and the operations are divided into three units, each with its own unit manager. More information about the department can be found here: Link

Internet of Things and People (IoTaP) research center

Internet of Things and People (IoTaP) is a research centre that studies how people can get the most out of the Internet of Things. The work involves computer scientists, interaction designers, professionals and users. Through applied research, IoTaP addresses a range of current challenges in society within areas such as energy, transportation, health, learning and home automation. More information about the research center can be found here: Link

Further information   

Senior lecture, Reza Khoshkangini, 040-6658273, reza.khoshkangini@mau.se  
HR-specialist, Magdalena Brossing, 040-6657659, magdalena.brossing@mau.se   

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/collection/working-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 2024-07-05. The application must be written in Swedish, English or any of the Nordic 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   

The position is 20% and fixed-term for three months.

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   

2024-08-15

Union representatives   

Saco-S, Mats Syde, mats.syde@mau.se

ST/OFR, Bodil Sterner, bodil.sterner@mau.se

We are looking forward to receiving your application!