Post doc in Machine Learning
Luleå Tekniska Universitet / Högskolejobb / Luleå
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hela Sverige Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 1.9 billion per year. We currently have 1,840 employees and 17,670 students.
In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.
Luleå University of Technology is one of Sweden's leading universities in the field of machine learning, especially in deep learning, with ELLIS researchers (European Laboratory for Learning and Intelligent Systems) in different stages, as well as unique labs for field robotics, deep learning, and human-computer interaction. Furthermore, Luleå University of Technology is very strong in industrial collaboration. The ML group is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The programme addresses research on artificial intelligence and autonomous systems that act in collaboration with humans, adapting to their surroundings through sensors, information, and knowledge, and forming intelligent systems-of-systems. WASP's vision is excellent research and expertise in artificial intelligence, autonomous systems, and software for the benefit of Swedish industry.
Subject description
Machine learning focuses on computational methods by which computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications.
Project description
The postdoc candidate should collaborate with various industrial actors on technical projects in machine learning with a focus on BCI and Cognitive Science. It should be present in several projects in the field of BCI, cognitive science and machine learning (1. Electroencephalography; 2. Multimodal analysis). In addition, successful candidates should also strongly participate in the acquisition of future projects and engage in research collaborations.
Duties
The postdoc candidate should contribute to the department's tasks. Also actively participates in teaching Machine Learning related courses at LTU.
Qualifications
To be eligible for the position, a PhD or equivalent foreign degree in computer science, machine learning or artificial intelligence is required, focusing on at least two of the following areas: brain data analysis, cognitive neuroscience, brain-computer interfaces and/or deep learning. It is meritorious if your degree is completed no later than three years before the application deadline for this position. If there are special reasons, it may be considered that you have previously completed a doctoral degree, for example in the case of various types of statutory leave. You should be able to work both independently and in teams. Good oral and written proficiency in English is a requirement. It is a merit if you have experience of international research projects and research collaborations as well as industrial experience.
Additional information
Full time employment for two years (up to a maximum of three years) with placement at the subject of Machine Learning. Start date upon agreement.
For further information about the position, please contact Professor Elisa Barney, +46 920-49 21 94.
Elisa.barney@ltu.seUnion representatives:
SACO-S Kjell Johansson (+46)920-49 1529
kjell.johansson@ltu.seOFR-S Lars Frisk, (+46)920-49 1792
lars.frisk@ltu.seIn case of different interpretations of the English and Swedish versions of the previous calls, the Swedish version takes precedence.
Application
We encourage you to apply for this position via the application button below. The application should include a CV, personal letter, and copies of verified diplomas from high school and university. Mark your application with the reference number below. Your application, including degree certificate, must be written in English or Swedish.
Last day for application: August 31, 2023
Reference number: 1967-2023
Ersättning Indivuell lönesättning
Så ansöker du Sista dag att ansöka är 2023-08-31
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Luleå Tekniska Universitet (org.nr 202100-2841)
Arbetsplats Luleå tekniska universitet
Jobbnummer 7878716
Observera att sista ansökningsdag har passerat.