瑞典于默奥大学博士后职位招聘–计算机科学、数学、统计学方向
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.
The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.
The Department of Computing science seeks a post doctoral researcher who will work within clustering and multi-view data. The employment is full-time for two years with access November, 2023 or by agreement.
Department of Computing science
To our department characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison we now look for a post doctoral researcher in clustering and multi-view data. The department has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. Our workplace consists of a diverse group from different nationalities, background and fields. As a post doc with us you receive the benefits of support in career development, networking, administrative and technical support functions along with good employment conditions. See more information at: https://www.umu.se/en/department-of-computing-science/
The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can contain traces of the data used in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has active links with the private and public sectors. For more information see https://www.umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/
Is this interesting for you? Welcome with your application before September 8, 2023.
Project description and working tasks
The post doc will conduct research in the area of multi-view data and clustering. We are interested on developing tools for privacy-preserving multi-view data privacy. A successful candidate is expected to play an active role in the development of the project.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/
Qualifications
To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time of the appointment decision.
To be appointed under the postdoctoral agreement, priority should be given to candidates who completed their doctoral degree, according to what is stipulated in the paragraph above, no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.
The PhD degree should be within Computer Science, Mathematics, Statistics, or another subject of relevance for the project.
A very good command of the English language, both written and spoken, is required .
Documented knowledge and proven research experiences in at least one of the areas multi-view data analysis and data privacy is required.
A successful candidate is expected to have a scientific and result-oriented approach to their work.
Application
A full application should include:
- A cover letter summarizing your qualifications, research interests, and motivation for applying (max 2 pages),
- Curriculum vitae (CV) with publication list,
- Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained,
- Verified copies of other diplomas, list of completed academic courses and grades,
- Copy of doctoral thesis and up to 5 relevant articles,
- Other documents that the applicant wishes to claim.
- Contact information to two persons willing to act as references.
The application must be written in English or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is September 8, 2023.
Further details are provided by Vicenç Torra (vtorra@cs.umu.se )