If you are interested in joining our lab as a postdoc, PhD or Master student please contact Isabel Gordo (igordo at igc.gulbenkian.pt).
The Evolutionary Biology Lab at the Instituto Gulbenkian de Ciência (IGC) is recruiting for a position in Bioinformatics and/or Computational Biology.
We are seeking a highly motivated person with experience in analysis of genomics data of prokaryotes to work at the IGC, in the context of a collaborative project between Isabel Gordo (Principal investigator of the Evolutionary Biology Lab) and Michael Lassig (Principal investigator of the Statistical Physics and Quantitative Biology Lab at the University of Cologne).
The ideal candidate should have a PhD in the field of Bioinformatics or Computational Biology, research experience in NGS data analysis or modelling of microbial evolution. Candidates with a Ms degree will also be considered if they have experience in this field.
The successful applicant will be fully integrated in the team working in Gordo´s Lab, actively participating in lab meetings, seminars and training. S/he will also interact closely with members of Lassig´s Lab and collaborators of the Collaborative Research Centre (SFB) 1310 Predictability in Evolution. To fulfil this role, s/he will be given a high degree of responsibility and freedom.
S/he will be encouraged to undertake periodic visits to the University of Cologne to strengthen the international collaborations that have been established in Gordo´s Lab. Fluency in English (written and spoken) is required.
The fellowship will have the duration of 12 months with possibility of extension at the end of this period, for a maximum of 3 years. The successful candidate will be contracted on the basis of exclusivity as regulated by the directives of the Instituto Gulbenkian de Ciência (www.igc.gulbenkian.pt).
Applications should be sent by email to igordo at igc.gulbenkian.pt with the subject: Bioinformatician IGC-Cologne. The application should consist of one PDF file including a motivation letter, CV and the contact of two previous supervisors (mentors or teachers in the case of a Ms holder). Potential candidates will be pre-selected on the basis of CV and motivation letter, and selected candidates will be called for interview.