Professor in machine learning

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


The 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: https://hh.se/ite-en

Description


The position is based at the School of Information Technology at Halmstad University, and will be part of the strategic research area within IT and mobile communications, ELLIIT (http://www.elliit.se), a collaboration between Linköping University, Lund University, Halmstad University, and Blekinge Institute of Technology. The successful candidate is expected to contribute to ELLIIT’s broader goals within research, graduate education, dissemination, and exploitation.

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. The public sector, including healthcare, can use AI/ML for patient-centred care to increase quality while reducing the costs of services.

The professor is expected to do research, both independently and in collaboration with other members of the CAISR research group, across various cutting-edge AI/ML topics, including data mining, affective computing, 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, verification and validation of intelligent systems, and more.

Qualifications
Professor level competent:
"A person who has demonstrated both research and teaching expertise shall be qualified for employment as a professor. The assessment criteria for appointment as a professor shall be the degree of the expertise required as a qualification for employment. As much attention shall be given to the assessment of teaching expertise as to the assessment of research or artistic expertise. Each higher education institution determines itself what assessment criteria are otherwise to apply to the appointment of a professor (Higher Education Ordinance Chapter 4 Section 3). " https://www.hh.se/english/about-the-university/work-with-us/how-to-apply.html

Broad international network

For appointment as a professor, the following assessment criteria will be applied:

- Ability to conduct research of high international quality in artificial intelligence, specifically machine learning
- Ability to conduct research independently
- 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 and machine learning

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).

https://www.hh.se/english/about-the-university/vacant-positions/how-to-apply.html

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 https://hh.varbi.com/center/tool/position/478035/edit/tab:1/Read more about Halmstad University at http:/hh.se/english/discover/discoverhalmstaduniversity.9285.html