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ETH Logo ETH Zurich
Professor of Computer Science (Medical Informatics)
 
ETH Logo ETH Zurich
Professor of Mathematics
 
ETH Logo ETH Zurich
Professor of Data Science
 
ETH Logo ETH Zurich
Assistant Professor (Tenure Track) of Biomaterials Immunoengineering
 
ETH Logo ETH Zurich
Professor of Mobile Health Systems
 
ETH Logo ETH Zurich
Professor of Healthy Ageing
 
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Professor of Solid State NMR Spectroscopy
 
     
     



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Professor of Computer Science (Medical Informatics)


The Department of Computer Science (www.inf.ethz.ch) at ETH Zurich invites applications for a professorship with a focus on Medical Informatics.

Applicants should have an excellent record of internationally recognized research, which demonstrates a strong link to core computer science (machine learning and information systems) and applications in medicine and life science applications, especially in computational medicine, ubiquitous health monitoring, intelligent decision support systems and Biomedical data analysis/management. The computer science expertise of the successful candidate may be in the areas of data analytics, data management, cloud computing, computational medicine, possibly complemented by computational science or medical imaging.

The professor is expected to establish and lead a research group in the Department of Computer Science at ETH Zurich with close links to the University Hospital Zurich and other medical centers in Switzerland and beyond. Moreover, she/he shall supervise doctoral candidates, teach courses in her/his own field of research, and participate in core courses of computer science. In addition to contributing to core computer science research the professorship is expected to play a significant role in the Personalized Medicine efforts of ETH Zurich and to establish collaborations with scientists in the life science and engineering disciplines.

The expectation is to fill the position with a tenured professor but excellent applications at the assistant professor level (tenure track) will also be considered. Assistant professorships have been established to promote the careers of younger scien­tists. ETH Zurich implements a tenure track system equivalent to other top international universities.

Please apply online: www.facultyaffairs.ethz.ch

Applications include a curriculum vitae, a list of publications with the three most important ones marked, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 30 April 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Professor of Mathematics


The Department of Mathematics (www.math.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

Successful candidates should demonstrate an outstanding research record and a proven ability to direct research work of high quality. Willingness to participate in collaborative work both within and outside the school is expected. The new professor will be responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students of mathematics, natural sciences, and engineering.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 31 May 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Professor of Data Science


The Department of Mathematics (www.math.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

Applicants demonstrate an internationally recognised research record to enhance and further strengthen collaborative research between the Department of Mathematics (D-MATH) and the Department of Computer Science (D-INFK) in mathematical and statistical foundations of Data Science at ETH Zurich. The new professor should have a strong background in mathematics, an affinity with computer science, a genuine interest in applications, excellent teaching skills, and a deep interest in Data Science both in research and teaching. The successful candidate is expected to teach undergraduate level courses (German or English) and graduate level courses (English) in statistics and mathematics for students of mathematics, engineering, and natural sciences as well as for courses in the Master in Statistics and in the Master in Data Science.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 30 June 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Assistant Professor (Tenure Track) of Biomaterials Immunoengineering


The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The professorship aims to apply engineering principles to the study of the immune system and the development of novel methods for its direct modulation. The professor is expected to provide leadership in the design, characterisation and application of novel biomaterials for the use in regenerative medicine, with a specific focus on engineering solutions to control the host response.

Applicants should have a strong background in immunology/immunoengineering, as inflammation is considered an over-arching factor governing the effective function of biomaterials, especially to support de novo tissue generation. Elucidating the processes governing activation of the innate host immune response by biomaterials will provide targets for material modification for eventual application in new therapeutic treatments. The successful candidate has a deep knowledge of the interplay of biomaterials, systemic factors and cellular pathways governing foreign body response. A demonstrated expertise in the selection and/or modification of biomaterials and application of immune response control in the context of guided tissue regeneration are key qualities for the position. Proven excellence in the use of novel model systems would enhance the applicant's profile, for example bioreactor systems and organ-on-chip models for the study of systemic interactions and downstream effects and/or large-scale computational biology methods. At the assistant professor level commitment to teaching and the ability to lead a research group are expected.

Assistant professorships have been established to promote the careers of younger scien­tists. ETH Zurich implements a tenure track system equivalent to other top international universities.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications and projects, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 30 June 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Professor of Mobile Health Systems


The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

Emerging and industrialised nations alike face challenges with rapidly ageing populations and rising rates of chronic illnesses and conditions. Late referral to a doctor and high co-morbidity lead to exploding health care costs and reduced quality of life. The development and rapid evolution of smart phones and mobile/wearable sensor technologies as well as the increased computational power and functionality of these devices offer solutions to these pressing challenges. This has enabled the development of advanced medical decision support systems, diagnostic screening and continuous patient self-monitoring at the point-of-care. The aim of this professorship is to create an integrated approach to mobile health research, considering all relevant aspects from sensor development, system integration, and data collection to data analysis, interpretation, and treatment. Usability and clinical validation will be equally important. Targeted applications will be monitoring of ageing populations and individuals, as well as chronic disease monitoring, prevention, and treatment delivery. Collaborations with local and international clinics and medical experts are expected. Considering the global importance of mobile health, collaboration with partners in emerging countries is encouraged.

Successful candidates demonstrate expertise in the areas of sensor and device development, signal/information processing, machine learning and information retrieval from big data. Therefore, a strong background in electrical/mechanical/micro-engineering and computer science (or related) is required. Considering the translational nature of the position, experience in medical and human-factors engineering and collaboration with clinicians and medical institutions across the globe is desired. The new professor is expected to perform both basic and applied research, including clinical validation.

Additional prerequisites are a strong motivation and an undisputable commitment to teaching. In general, at ETH Zurich undergraduate level courses are taught in German or English and graduate level courses are taught in English.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications and projects, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 15 August 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Professor of Healthy Ageing


The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The new professor is expected to be a world-renowned expert in the field of ageing research, or in the prevention of ageing-associated diseases like e.g. neurodegeneration or diabetes. She or he has a long-standing expertise in the elucidation of biological mechanisms of ageing using model organisms and/or human cohorts to apply expertise in functional genetics or pharmacological/nutritional interventions. Alternatively, the successful candidate is a proven expert in applying exercise to prevent or mechanistic aids to ameliorate symptoms of functional decline. The research will provide unprecedented approaches to promote healthy ageing by preventing or reverting physiological, yet widely undefined hallmarks of higher age. Specific expertise may include (i) biological mechanisms of ageing, using model organisms like yeast, fruit flies, roundworms and/or mice, (ii) genetics of ageing and age-associated diseases, including neurodegeneration and metabolic disorders, (iii) mechanism-based prevention of physiological decline by pharmacological, nutritional or exercise interventions, as well as tissues engineering and replacement, and (iv) the quantification, maintenance and restoration of movement capacity applying high-end engineering and robotics approaches.

Additional prerequisites are a strong motivation and an undisputable commitment to teaching. In general, at ETH Zurich undergraduate level courses are taught in German or English and graduate level courses are taught in English.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications and projects, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 31 August 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply.

   
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Professor of Solid State NMR Spectroscopy


The Department of Chemistry and Applied Biosciences (www.chab.ethz.ch) at ETH Zürich invites applications for the above-mentioned position. The professorship should have a research focus on NMR spectroscopy of the solid state with possible applications in either the life sciences or materials research. Candidates are expected to establish a research programme at the forefront of method development in their field. Collaboration with other groups at ETH in application work or method development is strongly encouraged and teaching in all areas of physical chemistry is expected. In general, at ETH Zurich undergraduate-level courses are taught in German or English and graduate level courses are taught in English.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications, a statement of future research and teaching interests, and a description of the three most important achievements. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Lino Guzzella. The closing date for applications is 31 August 2018. ETH Zurich is an equal opportunity and family friendly employer and is responsive to the needs of dual career couples. We specifically encourage women to apply. 

   
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