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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
Machine learning is the discipline concerned with computer software that can learn autonomously. Machine learning, including both neural network-based approaches and mathematical statistics-based approaches, has become a driving force behind many recent breakthroughs in artificial intelligence. From speech recognition, image analysis, natural language understanding, machine translation, query and answering systems, protein folding, and even playing GO, machine learning is breaking records. These exciting developments have not gone unnoticed to industry either: Google, Facebook, IBM, Qualcomm, Yahoo, Microsoft, Bosch, Uber and so on all have large teams of researchers working with machine learning.
Subject description
Machine learning is a broad subject with connections to several departments at Lund University. For this reason, we therefore state four different subject directions, coupled to the four departments participating in the call. The final departmental affiliation will be decided in connection to the employment.
Work duties Employment as an associate senior lecturer is a career development position and aims for the holder to develop his or her independence as a researcher and educator. The work duties mainly involve research and teaching including supervision at undergraduate, graduate and doctoral levels. Included in the duties is also to actively participate in and to develop contacts with external funders, within academia as well as outside, and to contribute in efforts to attract external funding. The position shall include the opportunity for five weeks of training in higher education teaching and learning.
Qualification requirements
Appointment to associate senior lecturer requires that the applicant has
a PhD degree or acquired corresponding research expertise.
Priority should be given to applicants who have completed their degree or acquired the corresponding expertise no more than five years before the expiration date of the call.
Additional requirements:
Very good oral and written proficiency in English.
Assessment criteria For appointments to associate senior lecturer, the following shall form the assessment criteria:
research excellence proved by scientific publications. international research experience and potential to strengthen the research area within Sverige pedagogical skills and insights regarding state-of-the-art pedagogics in the field
Other qualifications:
interest in and insights regarding academic leadership as well as interaction with the surrounding society administrative skills as well as other skills
Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research, education and innovation within the department, and potential to contribute to its future development.
Terms of employmentThis is a full-time, fixed-term employment of 4 years. The period of employment is determined in accordance with Chapter 4 Section 12a§ HEA.
Instructions on how to apply Applications shall be written in English. Draw up the application in accordance with the Academic qualifications portfolio at LTH, se link below, and attach it as three PDF files (in the recruitment system). Read more here:
http://www.lth.se/index.php?id=71223
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Promotion to senior lecturer in Machine Learning
During the period of employment, an associate senior lecturer can apply for appointment to a permanent position as senior lecturer if he or she has the required qualifications listed below, and is deemed to be suitable.
Qualification requirements: Appointment to senior lecturer requires that the applicant has:
A PhD or corresponding research competence or professional expertise considered important with regard to the subject matter of the post and the work duties it will involve. Demonstrated teaching expertise. Completed five weeks of training in higher education teaching and learning, or acquired equivalent knowledge by other means.
Additional requirements:
Very good oral and written proficiency in English. Good ability to cooperate. Independence and drive.
Assessment criteria:
When assessing the applicants, special importance will be given to research and teaching expertise. For appointments to senior lecturer, the following shall form the assessment criteria: A good national and international standing as a researcher. The requirement for international experience shall be assessed with consideration to the character and traditions of the subject. Good teaching ability, including a good ability to conduct, develop and lead teaching and other educational activities on different levels and using a variety of teaching methods. An ability to supervise doctoral students to achieve a PhD. An ability to collaborate with wider society and communicate his or her activities. A good general ability to lead and develop activities.
Type of employment | Permanent position |
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Contract type | Full time |
First day of employment | As soon as possible |
Salary | Monthly |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2018/2161 |
Contact |
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Union representative |
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Published | 12.Jun.2018 |
Last application date | 12.Oct.2018 11:59 PM CEST |