Assistant Professor Bioinformatics for Human Diseases at Delft University of Technology (NL) Delft Bioinformatics Lab The Delft Bioinformatics Lab<http://bioinformatics.tudelft.nl/> performs research and educates students in the field of bioinformatics with broad applications in human, micro- and plant biology. We distinguish ourselves by applying the latest developments in machine learning to design novel, state-of-the-art algorithms that allow the interpretation of biological datasets. We closely collaborate with biochemists, biologists and geneticists to answer complex biological questions and give direct societal relevance to our tailor-made algorithms. On human diseases we partner with major Dutch medical centres: NKI, LUMC and VUmc. Job description You will head the bioinformatics for human diseases research theme and its associated educational activities. Within this theme we aim to improve the understanding of human diseases, from biomarker discovery to mechanistic understanding of disease progression, with the ultimate aim of contributing to the design of precision medicine. Challenges relate to integrating genomics data (across difference levels of cellular regulation), deciphering heterogeneity in cells (in space and across time), exploiting physical properties of the cell (such as the 3D organisation of DNA), and rich, longitudinal phenotyping of patients (from medical records and imaging to wearable sensors). You will initiate your own research lines within this context, design the necessary pioneering bioinformatics methodologies, and apply these to impact the medical domain. You will do so as principal investigator, leading day-to-day research activities of your team, fostering creativity and scientific excellence, and initiating collaborations with internationally leading labs. In addition, you will contribute to courses at the BSc, MSc and PhD levels in the Computer Science, Life Science Technology and Nanobiology programmes of the TU Delft. In short, you will show leadership in bioinformatics for human diseases, be active in the relevant international communities, and set internationally recognised research directions. Requirements You have a PhD in bioinformatics or a related discipline, a strong track record demonstrated by well-cited publications in top journals, and affinities for machine learning/data science and human diseases. You are motivated, enthusiastic, and decisive, and you work effectively in a multidisciplinary team. You motivate peers and students to share your enthusiasm for your science. Your English is fluent with excellent writing skills. You are an inspiring teacher with a track record in undergraduate/graduate teaching programmes (teaching certificates are considered an advantage). Conditions of employment A tenure-track position at the Faculty of Electrical Engineering, Mathematics and Computer Science<http://www.ewi.tudelft.nl/en/> of the Delft University of Technology<http://www.tudelft.nl/> (the Netherlands) is offered for six years, which is a process leading up to a permanent appointment with the prospect of becoming an Associate or full Professor. This decision will be made by the fifth year based on performance indicators agreed upon at the start of the appointment. This includes acquiring (if necessary) teaching certificates. The TU Delft offers a structured career and personal development programme designed to offer individual academics as much support as possible, such as following internal or external courses to develop your competences further. The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. The salary scale is €3400 to €4654 per month gross. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Information and application For more information about this position, contact Prof. M.J.T. Reinders, phone: +31 (0)15-2786424, e-mail: m.j.t.reinders@tudelft.nl<mailto:m.j.t.reinders@tudelft.nl>. To apply, send a letter of application detailing your motivation for the position, a detailed CV, a research and an education statement, at least three references and five key publications. E-mail your application by 15 April 2017 to E.C.L.Turlings, Hr-eemcs@tudelft.nl<mailto:Hr-eemcs@tudelft.nl>. When applying for this position, refer to vacancy number EWI2016-35. For more information about the Tenure Track and the personal development programme, visit www.tudelft.nl/tenuretrack<http://www.tudelft.nl/tenuretrack> Employer Delft University of Technology is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools. Delft University of Technology offers an internationally competitive academic environment. In the field of life sciences, it harbors renowned scientists in biotechnology, nanobiology, environmental biology, and bio-based technological innovations. The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) contributes to life sciences in the fields of microfabrication (organ-on-a-chip models), computational science (mathematical models of biological processes), high performance computing (accelerating bioinformatics algorithms), data visualisation and bioinformatics. The Delft Bioinformatics Lab is part of the EEMCS faculty.