Biomedical Data Analysis Lab - BMD Lab

Congratulations to (Dr.) Liv Jorunn Høllesli on successfully defending her PhD thesis, “Stroke Mimics and In Depth Analysis of Computed Tomography Perfusion in Patients with Acute Ischemic Stroke”.

The BMD Lab is proud to celebrate this significant achievement and extends its warmest wishes for a bright and prosperous future ahead.

Our Ph.D. fellow Jorge García-Torres Fernández presented his research work, titled "Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos", at the Northern Lights Deep Learning (NLDL 2024) Conference, held during January 09-11, 2024 at Tromsø, Norway.

Link to the paper: https://lnkd.in/dp38pu78

🌟 Exciting PhD Fellowship Opportunity in AI for Active and Assisted Living (AAL) at University of Stavanger!🌟

Are you passionate about Artificial Intelligence (AI) and its potential to improve the quality of life for older adults and people with special needs? We have an amazing opportunity for you! We are currently seeking talented individuals to join our prestigious fellowship program in AI for Active and Assisted Living.

📅 APPLICATION DEADLINE: February 7th, 2024

As a PhD Fellow in AI for AAL, you will have the chance to contribute to groundbreaking research aimed at developing innovative technologies and solutions that support active and independent living for the elderly. You will work closely with renowned experts in the field, benefiting from their mentorship and guidance throughout your journey.

💼 Key Responsibilities:

- Conducting cutting-edge research in AI for AAL

- Developing novel algorithms and models to support autonomous living for older adults

- Collaborating with interdisciplinary teams to integrate AI into smart homes and healthcare systems

- Publishing research findings in top-tier conferences and journals

📚 Qualifications:

- Master's degree (or nearing completion) in Computer Science, Artificial Intelligence, or relevant disciplines

- Prior experience or coursework related to AI, especially if you've worked on projects involving sensor (i.e., wearables or environmental) technology, healthcare applications, or data analytics in a healthcare context

- Strong programming skills (Python, C++, etc.)

- Solid understanding of machine learning and deep learning techniques

- Excellent problem-solving abilities and analytical thinking

- Good communication and teamwork skills

🎓 Benefits:

- Fully-funded PhD position for a duration of three years

- Access to state-of-the-art facilities and resources

- Opportunities to attend conferences and workshops

- Collaborations with international academic and industry partners

- Competitive salary package

✅ How to Apply:

Interested candidates are invited to visit our website and submit their applications through the following link:

https://www.jobbnorge.no/en/available-jobs/job/253478/phd-fellowship-in-ai-for-active-and-assited-living-aal

📢 Help us spread the word by sharing this amazing opportunity with your network! Feel free to tag potential candidates who might be interested in pursuing a PhD in AI for Active and Assisted Living. Together, let's shape the future of technology for the elderly and improve their lives!

https://lnkd.in/dVBVBFzr

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PhD Fellowship in AI for Active and Assited Living (AAL) (253478) | University of Stavanger Job title: PhD Fellowship in AI for Active and Assited Living (AAL) (253478), Employer: University of Stavanger, Deadline: Wednesday, February 7, 2024