Postdoctoral researcher in machine learning
Högskolan i Halmstad / Datajobb / Halmstad
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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.htmlThe School of Information Technology
Halmstad University consists of four interdisciplinary Schools and the current position is located at the School of Information Technology (ITE). ITE is a multicultural school with around 130 employees from 20 different countries. It is a strong research and education environment, with focus on smart technology and its applications. Students and researchers are working with everything from AI and information driven care to autonomous vehicles, social robotics and digital design. ITE offers education on all levels, from undergraduate to PhD education, plus education for professional. Research is conducted within aware intelligent systems, smart electronic systems, cyber physical systems and digital service innovation. These four areas constitute the four technology areas of ITE . An innovation centre for information driven care called Leap for Life is connected to ITE, as well as a collaboration arena for electronic development, Electronics Centre in Halmstad (ECH)
More information about the School of Information Technology: hh.se/ite-en
Description
Halmstad University aims to expand its strengths in machine learning (ML) and artificial intelligence (AI) as increasingly important drivers of society's digitalization. Our partners can use AI/ML to tackle better challenges related to electromobility, and autonomous driving, as well as efficiency, reliability, and resilience of Industry 5.0.
This is a two year position with a possibility to extension with one year if additional external funding is received.
The recruited person will have an opportunity to advance Bachelor and Master level courses such as Artificial Intelligence, Learning Systems, Data Mining, Applied Data Mining, and Deep Learning. The person will also be involved in the Graduate professional development program (second-cycle courses targeted at the business sector). The recruited person will be expected to teach up to 20% and do research at least 80%, within the project. Finally, the recruited person is expected to participate in supervision of thesis projects for bachelor and master level students, as well as co-supervise Ph.D. students.
Principal duties
The duties will be:
To perform research in the AI-MARiE project, related to online monitoring of complex and mixed equipment processes; especially in relation to work done by a fork-lift truck for material handling
To contribute to academic publications and conference papers
To contribute to report writing
Qualifications
The applicant must hold a doctoral degree in Artificial Intelligence/Data Mining/Machine Learning/Information Technology or related fields. The applicant needs to demonstrate a strong research profile in the fields related to topics of interest for CAISR research environment, including recent activities with high impact. The scientific production is expected to be published in high-quality, peer-reviewed research journals and conferences. Documented experience from innovation, research and development in an industrial environment is also a strong merit. The applicant should share the value that diversity and equality among researchers and teachers brings higher quality to research and education.
Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate, proving the qualification requirement is met, must be received before the employment decision is made. Primarily should those who have graduated no more than three years before the last application date, be considered. Under special circumstances, leave due to illness, parental leave, or similar circumstances, the doctoral degree can have been completed earlier.
For appointment as a postdoctoral researcher, the following assessment criteria will be applied:
Ability to conduct research of high international quality in artificial intelligence, specifically data mining and machine learning
Documented experience from research in collaboration with industrial partners and/or interdisciplinary teams
Ability to conduct high-quality teaching and to develop courses at different levels
Experience in supervision of bachelor/master students
Ability to attract external funding
Dynamism, curiosity, independence, creativity, and good teamwork
Willingness to address opportunities and challenges within AI, machine learning and data mining
Salary
Salary is to be settled by negotiation. The application should include a statement of the salary level required by the candidate.
Application
Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page).
How to design your application
For further information, please contact Stefan Byttner (
stefan.byttner@hh.se).
General Information
We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.
Read more about Halmstad University at
http://hh.se/english/discover/discoverhalmstaduniversity.9285.html Ersättning Monthly salary
Så ansöker du Sista dag att ansöka är 2024-09-15
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "PA 2024/284".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Högskolan i Halmstad (org.nr 202100-3203)
Arbetsplats Halmstad University, School of Information Technology
Kontakt Stefan Byttner
+46729773601 Jobbnummer 8873451
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