“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 prepares people for the future by creating values, driving innovation and developing society. Since the beginning in 1983, the University has been characterised as forward-thinking and cross-border. Today, the University has around 600 employees and 11,000 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.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. 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: hh.se/ite-en
More information about the research environment Embedded and Intelligent Systems: hh.se/eis-en
The recruited person will be expected to approximately teach 20% and do research to 80%.
The availability of data is changing rapidly in healthcare. Information-driven care will make use of all this data, together with data analytics and machine learning, to improve the healthcare system. There are still challenges to address, from pure machine learning challenges to the transformation into information-driven healthcare system. The CAISR Health research initiative at Halmstad University will focus on information-driven care, understanding the whole chain from formulating and prioritizing questions, to algorithms, to data collection, to engagement, to explainability, and to implementation. CAISR Health is a collaboration between industrial partners (such as Novartis and Cambio), Region Halland and Halmstad University.
We are recruiting a senior lecturer associated with CAISR Health with a focus on AI and machine learning. Projects within CAISR Health will cover a broad range of machine learning methods using comprehensive healthcare data for applications such as diagnosis and outcome predictions. Working with heterogenous healthcare data, creating meaningful and interpretable data representations, as well as developing explainable machine learning models will be important for CAISR Health.
AI and ML is an important part of our education. 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). Finally, the recruited person is expected to participate in supervision of thesis projects for bachelor and master level students, as well as co-supervise PhD students.
The duties will be:
- To undertake data mining and machine learning research in one or several of the application domains where the university conducts research
- To contribute to academic publications and conference papers (where appropriate leading on these)
- To contribute to report writing
The applicant must hold a doctoral degree in Artificial Intelligence/Data Mining/Machine Learning/ Information Technology or closely related fields. The applicant must demonstrate a strong, currently active research profile in the above fields. The overall scientific production should be extensive in high quality research journals. Documented experience from innovation, research and development in an industrial environment is also a strong merit, as well as documented experience from working with applications in the healthcare domain.
The applicant should share the value that diversity and equality among researchers and teachers brings higher quality to research and education. Experience in teaching on advanced level in higher education. Pedagogical training in teaching in higher education.
For appointment as a senior lecturer, 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 is to be settled by negotiation. The application should include a statement of the salary level required by the candidate.
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).
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
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