The Cologne Graduate School of Ageing Research offers an international research environment and is characterized by outstanding ageing research, excellent supervision, early independence in research and state-of-the-art facilities. We are dedicated to providing first-class conditions for young scientists in a cutting edge and inspiring environment. Our competitive Ph.D. programme provides a world-class starting platform for a successful career in science.
The programme is highly selective and invites outstanding university graduates wishing to work towards a Ph.D. in the fields of ageing and age-related diseases to become part of the vibrant and international research scene in the Cologne/Bonn area.
Advance your career with a doctoral degree from the CGA!
The online application platform for our Ph.D positions starting between June until October 2017 is currently open. The application deadline is January 15, 2017.
Our international and interdisciplinary faculty offers positions in the areas of biology, biochemistry, biophysics, bioinformatics, bioengineering and medical biology. We invite applicants from all countries with a Diploma/Master's or equivalent degree of the above mentioned or related fields.
Applicants with a degree in medicine are also welcome to apply provided they have sufficient relevant research experience. Furthermore, candidates require excellent written and spoken English skills (C1 level).
How To Apply
Please note that we can only accept applications submitted via our online application portal which will be accessible until January 15, 2017. Please carefully read the "General information" section and further instructions mentioned below.
Find two referees who are willing to write a letter of recommendation for you. As you have to name the referees in the application form, first ensure that they are willing to provide the recommendation. After submitting the application form, the referees will automatically receive an e-mail linking them to the letter of recommendation form. It is your responsibility to contact your referees and make sure that they submit the form until January 15, 2017 at the latest. Later submission of reference letters cannot be accepted.
Fill out the application form and submit supplementary data. Since you cannot save the application form containing your data, and the completed form will not be sent back to you, copy it (e.g. with copy and paste into Word) and save it for your records before submitting it. Save any long texts separately, as they will not be fully displayed in your Word copy.
Look out for the confirmation email with your registration code to which all later documents must refer. If you should not have received the confirmation within an hour after submitting the application, please check your spam filter.
Please note that you will not be able to change your data once it has been submitted.
We choose applicants based on their academic qualifications, their research accomplishments and their motivation to study at the CGA. A Sykpe interview will be conducted with shortlisted candidates. 25 candidates will be invited to a Selection Workshop on site. Selected candidates can start their Ph.D. position between June and October 2017. All accepted students will be enrolled through the University of Cologne.
Research At Cologne Graduate School Of Ageing Research (CGA)
Principle investigators of the Cologne Graduate School of Ageing Research (CGA) are internationally recognized scientists known for their cutting edge research into diverse topics including genetic determinants of longevity, protein quality control, DNA damage and repair, mitochondria regulation, immunosenescence and inflammation, stem cell and tissue maintenance, organellar and cellular architecture, endocrine control of metabolism, as well as their research into age-related diseases such as neurodegeneration, cancer, diabetes, obesity, kidney dysfunction. Close links between the research groups foster interdisciplinary collaboration and promote the development of novel research approaches.
The laboratories use diverse model systems - from bacteria, yeast, worms, and flies, to fish, mice, cultured cells, and human clinical samples - to delve into basic mechanistic questions. Core facilities provide on-campus platforms for performing genomics, proteomics, lipidomics, imaging, cell sorting, metabolic profiling and phenotyping.
For more information please click on "Further official information" below.
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