With the rise of antibiotic resistance, development of novel treatment strategies for bacterial infections is becoming increasingly important. This project aims to develop novel pharmacometric and computational systems pharmacology models to inform the selection of optimal antibiotic treatment strategies, with a focus on antibiotic efficacy and resistance development. For this purpose, clinical pharmacokinetic and biomarker data from patients, and experimental data characterizing antibiotic effiacy and resistance, will be analyzed. Potentially, the work will include some experimental work to support the development of the computational models. The project will be performed at the Division of Pharmacology, at the Leiden Academic Centre for Drug Research, Netherlands. There is a possibility of working at a research institute in New York, United States in the first year.
- Highly motivated researcher with an interest in drug research;
- Degree in (bio-) pharmaceutical, biomedical or bioengineering sciences, or comparable training;
- Strong affinity with quantitative approaches (i.e. modeling and simulation, data analysis, programming, biostatistics) is essential;
- Experience with dynamical modeling in computational biology or pharmacology is desirable;
- Basic experience with cell culture and cell biology techniques is an advantage;
- Able work and communicate effectively in a multidisciplinary team;
- Willingness to spend 6 to 9 months in the United States in the period between December 2016-November 2017 is a plus.
Our Faculty’s expertise spans the entire spectrum of science, ranging from Mathematics and Statistical science, Computer science and Data science, Astronomy, Physics, Chemistry and Pharmaceutical science to Biology and Environmental sciences. We are committed to provide meaningful, rigorous and quality academic experiences in an personalized environment with a cutting edge research infrastructure. Students can expand their academic horizons while deepening their expertise and knowledge in an array of disciplines. Our faculty members are inspired by a fascination with the unknown and the urge to enlarge our fundamental knowledge. At the same time they want to contribute to solutions for the big societal issues of tomorrow.
For more information, see http://www.science.leidenuniv.nl. andhttp://workingat.leiden.edu/.
For information on the Leiden Academic Centre for Drug research, please seehttp://www.lacdr.nl/.
We offer a full-time one year term position with the possibility of renewal based on need, funding and performance. Salary range from € 2.191,- to € 2.801,- gross per month (pay scale P, in accordance with the Collective Labour Agreement for Dutch Universities).
Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses(8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.
All our PhD students are embedded in the Leiden University Graduate School of Sciencewww.graduateschools.leidenuniv.nl. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school.
Leiden University is strongly committed to diversity within its community and especially welcomes applications from members of underrepresented groups.
Enquiries can be made to Coen van Hasselt, email email@example.com, or Piet van der Graaf, email firstname.lastname@example.org. If you have any questions about the procedure, please contact Mrs. M. Hofman, secretary Pharmacology Department LACDR, telephone: +31 71 527 6211.
To apply for this vacancy, please send an email to Mrs. M. Hofman,email@example.com. Please ensure that you upload the following additional documents quoting the vacancy number 16-253:
• A letter with your motivation for this position;
• Curriculum Vitae;
• Name and contact information of 3 references.
Application Deadline : 30 September 2016
PhD candidate Quantitative Systems Pharmacology of Antibiotics : PDF
Posted on 2016-08-26 23:09:59
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