We offer an exciting opportunity for a talented and ambitious funding specialist and grant writer to provide funding support in an interdisciplinary environment in Data Science. You will be responsible for finding, writing, editing, managing, and reporting on diverse funding applications for diverse research and education projects related to data science across disciplines.

You will identify, assess and prioritize funding opportunities, engage and facilitate members of the UM data science community to respond to opportunities, and to contribute to the writing of responses and to provide critical assessment of proposals in development. You will oversee and manage a wide-ranging portfolio of funding opportunities and funded projects to ensure timely delivery of milestones and deliverables. Finally, you will ensure management reporting and contribute to the further development of research strategy of the Data Science community.

• A Master Degree in Data Science, English, Journalism, Business, Computer Science, or equivalent;
• Demonstrated experience in grant writing, funding advice, and project management;
• Knowledge of grant application and administration processes;
• Broad interest in scientific research and in the research funding process;
• Proficiency of the English language, both written and oral;
• Excellent writing and editing skills;
• Ability to work independently;
• Highly effective interpersonal skills with the ability to communicate with diverse personalities in a tactful and professional manner;
• Willing to acquire new skills and come up with new approaches.

Fixed-term contract: 1 year.

• 38 hours per week;
• Initial 1 year appointment with the possibility to extend the contract;
• Competitive salary, and will be set in scale 10 or 11 (depending on experience) of the collective labour agreement of the Dutch Universities depending on qualifications and work experience (expected minimum € 2.640 and maximum € 4.852) for a full-time job (38 hours/week). Additional of 8% holiday and an 8.3% year-end allowance;
• Fringe benefits that includes reduction on collective health insurance, substantial leave arrangements, parental leave packages, attractive retirement benefits and application for attractive fiscal arrangements for employees from abroad;
• Stimulating, collaborative, entrepreneurial work environment that celebrates innovation and multi-disciplinary interactions;
• Excellent potential for professional and personal development;
• The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO), supplement with local UM provisions. For more information on terms of employment, please visit our website www.maastrichtuniversity.nl > Support > UM employees.

Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,300 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Data Science Community @ Maastricht University

Data Science@Maastricht University is a pioneering, university-wide network of data-driven researchers with more than 25 years’ experience in data science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines. The Data Science@ UM community is expanding with at least 15 new positions in 2019.

Institute of Data Science

The Institute of Data Science (IDS) at Maastricht University is an innovative research center led by professor Michel Dumontier. IDS is an interfaculty institute consisting of a core team of data science experts that cooperate closely with researchers across disciplines such as medicine, life sciences, social sciences and humanities, business and economics, knowledge engineering  and smart services. The mission of the Institute is to accelerate scientific discovery, improve clinical care & well-being, and strengthen communities by fostering a collaborative environment for interdisciplinary research and training based on accurate, scalable, and reproducible computation.