Professorship W2– ”Technical Computer Science with Focus on Sensor Technology“ (all genders welcome)Institution: Faculty of Mathematics and Computer Science
application deadline: 09.04.2020
Georg-August-Universität Göttingen, Göttingen University Medical Center and HAWK University of applied sciences and art were conjointly granted additional professorships by the Ministry for Science and Culture of Lower Saxony within the programme “Digitalisierungsprofessuren für Niedersachsen“.
At the centre of this strategic focus is the newly founded Campus Institute Data Science (CIDAS). CIDAS is a central scientific unit of Göttingen University and part of the Göttingen Campus. CIDAS brings together methodological expertise and discipline-specific applications of Data Science as well as research on the social and cultural aspects of digitization.
The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen in-vites applications for the position of a
professorship W2– ”Technical Computer Science with Focus on Sensor Technology“ (all genders welcome)
at the Institute of Computer Science.
The professorship acts as a bridge between the Faculty of Mathematics and Computer Science and the Faculty of Physics as well as the CIDAS in the research area “sensor and measuring techniques”, and the HAWK University of Applied Sciences and Art. Besides cooperating with colleagues at the Göttingen Campus, the professor is expected to cooperate closely with local and regional industry companies.
The research topics of the professorship at the Institute of Computer Science shall be in the areas of sensor technology and technologies for the automated processing of sensor data, e.g. from modern semiconductor sensors. Relevant topics are, for example, digital technology (FPGAs etc.) for low-level implementations of (machine learning) algorithms, hardware/software codesign for embedded sensor systems, or computer and system architectures for the processing of sensor data.
The University of Göttingen aims to complement and extend the teaching (in the Bachelor’s and Mas-ter’s programmes) between the Faculty of Mathematics and Computer Science and the Faculty of Physics as well as the HAWK. The appointed professor shall develop and offer new courses in tech-nical computer science, if applicable also in the compulsory area of the study programmes, such as real-time systems, sensor integration or embedded systems. On the basis of these courses the pos-sibility of a concentration in “Technical Computer Science“ in the Bachelor and Master programme “Applied Computer Science” will be established. Göttingen University is committed to research orient-ed teaching.
Applications including CV, publications list and details of teaching and research including funded research projects should be submitted by April 9th 2020 online via the application portal: https://lotus2. gwdg.de/uni/umin/w2_technische_informatik_2020.nsf/application.
For further information, please contact Prof. Dr.-Ing. Marcus Baum, Institute of Computer Science, Faculty of Mathematics and Computer Science, E-Mail: email@example.com
Conditions for appointment can be found in Section 25 of the Higher Education Law of Lower Saxo-ny. As a Public Law Foundation, the University of Göttingen has the right to appoint professors. Fur-ther details can be obtained upon request.
Applications of international scientists are highly encouraged. The University is an equal opportunity and family friendly employer. We specifically encourage women to apply. Disabled persons with ap-propriate qualifications and aptitude for the position will be given special consideration.
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Infor-mation General Data Protection Regulation (GDPR).
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)