Halmstad University, School of Information Technology
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
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: hh.se/ite-en
Appointment as Associate Senior Lecturer is a qualifying appointment with the
purpose to give the employee a possibility to promote to Senior Lecturer.
Appointment as Associate Senior Lecturer is for four years.
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
Research will be carried out both independently and in collaboration with
other members of the CAISR research group, across a variety of cutting-edge
AI/ML topics, including representation learning, meta-learning transfer
learning, multi-task, self-supervised and weakly-supervised learning, anomaly
detection, and more. An example is jointly learning data representations that
are useful for multiple tasks, allowing for autonomous adaptation to a
specific task. From the application perspective, much of CAISR research
concerns mobility data, which is often characterised by two crucially
essential dimensions: spatial and temporal; obtaining a complete picture
requires a framework capable of modelling them simultaneously to take
advantage of the insights embedded in the interrelations between the two.
Graph Neural Networks (GNNs) 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. At the same time, vehicles
generate raw sensor data that needs to be mapped into low-dimensional
representations. The goal is to extract general features which are suitable
for more than one task, often in self-supervised or semi-supervised setting.
For example, for estimating the health state of different components, the
representations that allow accurate predictions are related, but not
necessarily the same, since those components can be related to different
aspects of the vehicle operation.
Other directions of CAISR research include physics-informed machine learning,
aware systems research and autonomous knowledge creation. AI and ML is also 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.
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 related
- 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.
- Experience in teaching on advanced level in higher education.
- Pedagogical training in teaching in higher education.
- An Associate Senior Lecturer position requires that the doctoral degree was
awarded within five years of the application deadline.
For appointment as an Associate 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
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).
How to design your application
For further information, please contact Stefan
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
Information for International Applicants
Choosing a career in a foreign country is a big step. Thus, to give you a
general idea what we have to offer in terms of benefits and life in general
for you and your family/spouse/partner please visit:
https: // www. hh.se/english/about-the-university/vacant-positions/international-
Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2023-01-01 or as soon as possible
Salary Monthly salary
Number of positions 1
Working hours 100%
County Hallands län
Reference number 2022/161
Stefan Byttner, +46729773601
Camilla Soto, ST, 076-6087233
Kristina Hildebrand , Saco-S, 072-3734135
Anniqa Lagergren, OFR, 072-9773745
Last application date 02.Oct.2022 11:59 PM CEST
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