Postdoctoral researcher in machine learning
Högskolan i Halmstad / Datajobb / Halmstad
2021-10-25
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"Our School and research environment is in a very exciting and expansive phase.
It is a large research environment with a strong international character. The goal is to be a nationally leading environment within, among other things, applied AI" - Magnus Clarin, Dean of the School of Information Technology.
Halmstad University
Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, the University has been characterised as forward-thinking and cross-border. Today, the University has around 600 employees and 12,000 students. The range of education is wide and the research is internationally renowned. Halmstad University actively participates in social development through collaboration with both industry and the public sector.
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. The research is conducted within the research environment Embedded and Intelligent Systems (EIS). 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:
https://hh.varbi.com/center/tool/position/437286/edit/tab:1/hh.se/ite-enMore information about the research environment Embedded and Intelligent Systems:
https://hh.varbi.com/center/tool/position/437286/edit/tab:1/hh.se/eis-enBackground
Recent growth in the research activities and the well-established educational programs of the School of Information Technology (ITE) is enabling a significant expansion. In 2018 the total research expenditures exceeded 70 MSEK and the school hosted over 850 students. Over the next two years, the School will grow significantly. We are seeking to appoint a full-time researcher for two years.
Description
The recruited person will be expected to teach up to 20% and do research at least 80%, within one or several scientific projects. Research activities will depend on competences and interests, but are expected to build upon our existing portfolio.
Qualification
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. A postdoctoral position requires that the doctoral degree was awarded within three years of the application deadline.
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 master / PhD 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).
The application package shall consist of:
1) a cover letter stating the purpose of the application and a brief statement of why you believe that your goals are well-matched with the goals of this position, together with a description of future research plans
2) a CV that includes at least
• a list of previous degrees, with dates and institutions
• a complete list of publications with 2-3 most relevant ones for this position marked
• a description of previous research and other work experience and links to online copies of the most important publications
3) contact information for at least three references.
For further information, please contact Stefan Byttner(
Stefan.Byttner@hh.se) or head of school Magnus Clarin (
Magnus.Clarin@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.htmlVaraktighet, arbetstid
100%. Tillträde: 2022-01-01 or as soon as possible Visstidsanställning
Publiceringsdatum2021-10-25ErsättningMonthly salary
Så ansöker duSista dag att ansöka är 2021-11-14
Klicka på denna länk för att göra din ansökanFöretagHögskolan i Halmstad
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "2021/113".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Högskolan i Halmstad (org.nr 202100-3203)
Arbetsplats Halmstad University, School of Information Technology
Kontakt Stefan Byttner
+46 729773601 Jobbnummer 6067431
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