Are you passionate about research and teaching and do you specialize in the field of Data Analysis in the Life Sciences? We are looking for a Full Professor with this specialisation for the Swammerdam Institute for Life Sciences (SILS). You will have rich sources of data available to develop new data analysis tools in the interconnected areas of bioinformatics, machine learning and modelling. You will collaborate with different researchers in SILS which will allow us to draw meaningful conclusions from complex life science data sets.
The
Swammerdam Institute for Life Sciences (SILS) is a multidisciplinary institute with four major research themes: Cell & Systems Biology, Neurosciences, Green Life Sciences and Microbiology. Supported by underpinning technology in Microscopy, Mass Spectrometry, Sequencing technologies and Cell Sorting. Our investigators generate complex data sets from a diverse range of cells, tissues and organisms.
We invite ambitious Data Analysis researchers to apply for the position of Professor in Data Analysis in the Life Sciences. This group leader position comes with a starter package of an Assistant Professor, and two PhD candidate positions, all to be recruited by the candidate.
Your challengeAs a Professor Data Analysis in the Life Sciences, you will develop a leading role in initiating, coordinating and executing novel scientific data analysis methods and approaches in the field of Life Sciences.
Context of the chairThe chair will have a central position in the SILS, building on the current position of the
Biosystems Data Analysis group. There will be a strong interaction with all SILS research themes. The Amsterdam environment provides excellent opportunities for interactions with Chemistry and Physics Institutes of the Faculty, as well as with the Institute for Informatics and the Amsterdam AI community. We have strong ties with the Amsterdam Universities Medical Centres, the Dutch Cancer Institute, the Netherlands Brain Institute, Sanquin and many other Dutch research centres and Universities. The Amsterdam Science Park environment provides a vibrant atmosphere that also enables interaction with industry.
ResearchAs our new professor you have a recognizable research profile in Life Science Data Analysis. Your research area should intersect with bioinformatics, machine learning, data fusion or modelling. This could take the form of e.g., multiscale models and/or integrating multi-omics and/or image analysis. Experience within one of the SILS research themes will make a connection to the ongoing topics easier.
You will provide (inter)national visibility and inspiring leadership to SILS research in the important, growing area of Life Science Data Analysis by setting up and coordinating a research group in this area, supervising PhD candidates and consolidating collaborations with other research groups and research institutes. You are able to create, lead and motivate others to develop innovative interdisciplinary research, to contribute actively to public outreach and you have proven skills in raising relevant funds.
TeachingYou and your group members will teach in several Bachelor and Master programs, taking responsibility for a large educational portfolio including bioinformatics, data analysis and modelling. We expect you to actively contribute to development of curricula, for example with regards to making them more inclusive and diverse.
You will teach and supervise students in English, and work towards proficiency in Dutch (level B2) if currently not fluent. This is important, as English and Dutch are the current languages of instruction in the BA and MA curricula. English teaching and supervision skills are also important in view of the internationally composed student population at the department. Working with students from all over the world means that you have excellent skills in building and safeguarding a welcoming, inclusive teaching environment.
LeadershipYou have a proven ability in leading a research team and proven experience in managerial roles. We are looking for a leader who can both support and motivate colleagues, create a nurturing environment that allows other researchers to thrive and who is able and willing to take on responsibilities at institute and/or faculty level.
Your tasks and responsibilities
- conducting innovative, interdisciplinary research with (inter)national visibility in the field of Life Sciences Data Analysis; supervising PhD candidates;
- actively pursuing external funding for research, notably funding from research councils, national as well as European; contributing to and developing
national and international research networks and other forms of cooperation;
- developing, coordinating and teaching courses in both Dutch and English, in the Bachelor and Master programmes of College of Life Sciences and
the Graduate School for Life and Earth Sciences; supervising Bachelor and Master theses and tutoring students;
- taking part in committees and working groups of the Institute and Faculty.