Postdoctoral researcher in machine learning

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.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
This is a two year position with a possiblity to extension with one year if additional external funding is received. 

The current position has a focus on developing machine learning methods that can analyze and find deviating patterns in healthcare data such as to discover e.g. vaccination side effects or upcoming disease outbreaks. Deep learning will be one of the technologies explored during this development.

The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. AI and machine learning 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.

Principal duties
The duties will be:

- To undertake machine learning research and application development within the project
- To contribute to academic publications and conference papers (where appropriate leading on these)
- 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 this position, 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 ago before last application date, be considered.

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 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).

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.