
Lecturer applied statistics and research methods
1 dag geleden - Erasmus Universiteit Rotterdam - Rotterdam
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The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme for the advancement of ambitious (international) researchers at the institution’s highest academic levels. The programme has been running since 2002 and has financed over hundred Fellows.
The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme for the advancement of ambitious (international) researchers at the institution’s highest academic levels. The programme has been running since 2002 and has financed over hundred Fellows.
The Rosalind Franklin Fellowship programme is looking for women in academia, research institutes and industry who have a PhD and would like an academic career towards full professorship at a European top research university. The Fellowship is awarded to outstanding researchers.
Candidates applying for a fellowship at the UMCG will establish a research programme in connection to and in collaboration with departmental, institutional and international colleagues, which is largely externally funded. They will also participate in and contribute to the development of the teaching programme of their discipline and organize their research and activities so as to create the best possible impact on society.
The UMCG has two fellowship positions available. We invite ambitious female academics to apply for one of these positions.
Under European jurisdiction, it is lawful to specifically recruit underrepresented groups.
Two RFF positions
The UMCG has two Tenure/Talent Track positions available for talented female researchers in the fields of bioinformatics and big data/machine learning and innovative materials for clinical application.
Innovative Materials
New technologies and materials, from printed heart valves to DNA chips, are rapidly changing the world and the human condition. The human body has become an increasingly acceptable object of technological intervention with technologies that monitor, analyze and influence it. Recent major improvements in material science has led to the development of smart and bioactive materials that can replace the passive and inert materials of the first generation biomaterials. Ultimately, the material systems should guide the inherent, regenerative potential of the human body itself. This faculty position will focus on the development of innovative life-like biomaterials.
Artificial Intelligence
In healthcare, the amount of data acquired is increasing at a rapid pace requiring new technological approaches to be able to handle, process and utilize this data to allow personalized diagnosis and treatment of the patient. To achieve this, the UMCG is heavily investing to establish an expertise center (Data Science Center in Health) to increase knowledge and use of Data Science in patient care, research and education. To strengthen the position of DASH, Rosalind Franklin Fellow candidates are invited with a strong background in Artificial Intelligence/Machine learning. Experience in medical applications is a plus but not a strict requirement.
General requirements
• team player and demonstrable organizational qualities and communication skills
• PhD degree for at least 5 years on reference date 1 June 2019
• exemplary research record demonstrated by:
• - original research papers in international top journals
• - reviews, research opinions or other publications showing your contribution to the field
• - other research output, e.g. patents, methods, databases
• - citation record
• any means to show the value and influence of your research, e.g. uptake in policy documents or practice guidelines
• proof of independence and international recognition
• experience in various working environments in different countries
• success in acquiring external funding for research projects
• teaching experience or inclination for teaching demonstrated by tutoring/mentoring of individuals or small groups
• willing/ability to work in an interdisciplinary setting
• a well-founded and motivated application (see subheading 'Application') with an innovative research plan for the first five years and a challenging outlook for the future which takes into account the international research landscape in your field of specialization.