Research Engineer in Machine Learning
at Hgskolan i Halmstad
Halmstad, Hallands län, Sweden -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Dec, 2024 | Not Specified | 20 Sep, 2024 | N/A | Artificial Intelligence,Computer Science,Machine Learning,Signal Processing,Data Mining | No | No |
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Description:
HALMSTAD UNIVERSITY
Work at a University where different perspectives meet!
Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, innovation and collaboration with society have characterised the University’s education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University’s two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programmes. The campus is modern and well-equipped, and is situated close to both public transportation and the city center.
More information about working at Halmstad University: https://hh.se/english/about-the-university/vacant-positions.html
DESCRIPTION
This is a temporary position (11 months) and requires a combination of many different skills related to software development, machine learning and programming, but goes well beyond the typical scope of such jobs through the expectation of research experience in machine learning. Therefore, we need a person who is creative, open to new challenges, and passionate about delivering high quality results. The work is mainly intended to be performed in relation to automotive applications.
The research engineer is expected to support research and researchers in many various cutting-edge AI/ML topics, including data mining, context-aware systems, knowledge-based intelligent systems, representation learning, meta-learning, transfer learning, multi-task, self-supervised and weakly-supervised learning, federated learning, anomaly detection, synthetic data generation, graph neural networks, evaluation, and more.
QUALIFICATIONS
- M.S. degree or equivalent in Computer Science, Machine learning or related discipline.
- A strong background in machine learning, artificial intelligence, data mining, or signal processing is desirable.
- Excellent programming skills, analytical problem solving and organizational abilities are required.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Software Engineering
Graduate
Computer science machine learning or related discipline
Proficient
1
Halmstad, Sweden