Postdoctoral researcher in machine learning - Hiring in process/Finished, not possible to apply

“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.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

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.

A recent project is Intelligent Helm, where the main objective is to reduce emissions from marine commercial short sea vessels. A new AI-based decision-making tool will show the operational sweet spot for environment, comfort of passengers and time of arrival based on historical data. The project will drive research on aware systems to develop novel methods suitable for vessel mobility data, which is characterized by two essential dimensions: spatial and temporal. From ML perspective, identifying key patterns in historical data requires a framework capable of modelling these two aspects simultaneously, to take advantage of the insights embedded in the interrelations between the two. Graph Neural Networks is an emerging and promising field of machine learning, in the intersection of deep neural networks and graph theory, that is uniquely suitable to address both aspects.

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.

Principal duties
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

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.html