A unique opportunity is now offered to work in data and information technology at Chalmers as a lecturer (in Swedish, "tekniklektor"). We are looking for someone who has a strong interest in contributing to educating Chalmers students at basic and advanced levels in the subject area. If interested, there may also be the opportunity to participate in research conducted at the department. In this announcement, we offer positions at all our academic divisions: • Data Science and Artificial Intelligence, with education mainly in data science, machine learning and AI, algorithms, and mathematical modelling. • Computer Networks and Systems, with the opportunity to work in traditional computer engineering subjects, hardware, operating systems, distributed systems and cyber security • Computing Science, with specializations in data security, formal methods, functional programming, as well as logic and type theory. This division also has a lot of teaching in basic programming. • Software Engineering and Interaction Design, with the possibility to specialize in interaction design, game design, programming, software design, software architecture or software processes. In some courses, it will be possible to teach and work in a lab environment close to students, e.g. with teaching and working with hardware and software solutions in lectures and exercises which are then followed up with practical assignments. Other courses may be more theoretical, and your work may focus more on course development and lectures. Here there are great opportunities to choose your own teaching method, subjects and courses based on your own interests. Please indicate in your application which division(s) and subject areas best suit your interests and your background. Information about the department The Department of Computer Science and Engineering at Chalmers University of Technology and Gothenburg University has approximately 300 employees. The department has four academic divisions, as listed above. We have an international environment with employees from over 50 countries and frequent exchanges with other universities around the world. The institution offers a friendly, creative and supportive atmosphere. The department has many committed teachers and researchers with extensive and broad experience in all aspects of higher education. Equality and diversity are essential foundations in all our activities. We work actively to be a parent-friendly organization. Major responsibilities Your main task is to teach at bachelor's and master's levels, as well as to develop education in the field. Another important task is collaboration, both within academia and with society in general. Participation in research projects and own research studies may be part of the position. You will find information about the position and the qualifications for a Lecturer in Chalmers' Work Regulations, section 7.3. Your profile For this position, you should have a 5-year engineering degree or a master's degree, or equivalent competence, as well as relevant teaching experience. You should have completed a basic course in higher education pedagogy corresponding to at least 3 higher education credits. If you don’t have this today, you need to take such a course during your first year of employment. You are a good educator and have many years of work experience in the subject area within, for example, industry or public activities. You have sound verbal and written communication skills in English, it is meritorious if you have good knowledge in Swedish.  Contract terms Full-time permanent employment. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with Ref 20240159 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. Please follow the instructions for compiling an application for a research and teaching position at Chalmers. Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) One page where you: • Introduce yourself • Describe why you are applying for the position and what attracts you to Chalmers • Describe how you support your colleagues and create a good working environment • Include names and full contact information of two references that we can contact. CV: (Please name the document as: CV, Family name, Ref. number) • Your CV (please see the CV guidelines). • If you have publications, please provide a complete list Pedagogical qualifications: (Please name the document as: Pedagogical portfolio, Family name, Ref number) • Please compile a pedagogical portfolio to describe your pedagogical and educational qualifications using the format specified in the Pedagogical Portfolio instructions. • Please append certificates for completed courses in pedagogical training and any other documents described in the portfolio instructions. Other documents: • Documents verifying awards and recognitions stated in your CV, and other documents relevant to support your application. • Copies of a maximum of five relevant publications that cannot be accessed via your ORCID, Scopus ID or ResearcherID. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: April 24 For questions, please contact: Aarne Ranta, Computing Science Email: [email protected] Tomas Olovsson, Computer Networks and Systems Email: [email protected] Eric Knauss, Software Engineering and Interaction Design Email: [email protected] Dag Wedelin, Data Science and AI Email: [email protected]