Professor of Chemical Data Science (open rank)

Are you a team player who likes to connect with other scientists? Do you have experience with the interpretation and prediction of chemical and/or biochemical data? We are looking for a group leader in Chemical Data Science (open rank). Your research will be part of the Institute for Molecules and Materials, which is one of the research institutes in the Faculty of Science at Radboud University.

We are looking for a group leader in Chemical Data Science (open rank). Your research will be part of the Institute for Molecules and Materials (IMM), which is one of the research institutes of the Faculty of Science at Radboud University. You will be leading an independent research group to build a competitive research programme in chemical data science, making use of chemical and/or biochemical data. Examples of research lines in chemical data science include the analysis of complex chemical data, kinetic modelling of chemical or biochemical reactions leading to a further understanding of these reactions, and molecular simulations of complex dynamic molecular systems. Additionally, developing new data science techniques for real time monitoring and analysis of chemical processes e.g. with mass spectrometry, ion spectroscopy, or NMR, are relevant areas of research. One important task is the acquisition of external research funding, possibly in collaboration with external academic and/or industrial partners. Teaching and supervision are other important aspects of your work, and you will be involved in the Bachelor’s and Master’s degree programmes in Chemistry, Molecular Life Sciences and Science in the educational institute for Molecular Sciences.  You will also expected to take on administrative and organizational tasks. This position is open to aspiring group leaders in all career stages. You will be appointed as a professor at the level corresponding to your experience.

Profile

  • You have a background in chemistry or biochemistry, working on multivariate statistics, machine learning, deep learning techniques related to the interpretation and prediction of chemical and/or biochemical data.
  • You are a team player and you are willing to link up your approaches in data science with chemistry research in other groups at IMM, thereby setting up new research directions.
  • You have teaching and supervision skills that match your academic experience, and show enthusiasm to participate in the educational programmes of the Education Institute for Molecular Sciences.
  • You have demonstrable experience in acquiring external funding (associate/full professor level).
  • You have demonstrable experience in administrative and organizational tasks  (associate/full professor level).

We are

The Institute for Molecules and Materials (IMM) is a research institute in chemistry and physics that fosters interdisciplinarity by crossing traditional boundaries. Our mission is to create, discover and understand processes and phenomena in atomic and molecular environments. We focus on fundamental research and explore the opportunities for societally relevant applications, thereby educating the next generation of leaders in science and innovation.IMM distinguishes itself from similar institutes by the intense collaborations that take place between chemists and physicists and/or experimentalists and theoreticians as well as by our excellent infrastructure, which includes state-of-the-art chemistry and biochemistry labs, the Magnetic Resonance Research Center, the Nanolab, the Laserlab, and international user facilities such as the High Field Magnet Laboratory and the Free Electron Laser Laboratory (HFML-FELIX).

This position in Chemical Data Science is part of the Analytical Chemistry & Chemometrics group, which is embedded in IMM’s Theme 2: Chemistry of Complex Systems. Analysis and interpretation of data is an integral element of this research theme. Currently, Analytical Chemistry & Chemometrics research focuses on chemical data analysis, ranging from fundamental methodology development (e.g. global optimization methods and multivariate statistics for spectroscopy) to application-oriented research in chemistry and life sciences (e.g. image processing and spectroscopic analysis for industrial and medical applications.) The group has a specific objective in providing quantitative instruments that contribute to the Sustainable Development Goals.

We offer

  • It concerns an employment for 0.8 – 1.0 FTE.
  • If you are appointed as a Professor, the gross monthly salary amounts to a maximum of €8,881 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale H2).
  • If you are appointed as an Associate Professor, the gross monthly salary amounts to a maximum of €7,362 (salary scale 14).
  • If you are appointed as an Assistant Professor, the gross monthly salary amounts to a maximum of €6,181 (salary scale 12).
  • You will receive 8% holiday allowance and 8.3% end-of-year bonus.
  • It concerns a permanent employment.
  • You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen.
  • Working for us means getting extra days off. In case of full-time employment, you can choose between 30 or 41 days of annual leave instead of the legally allotted 20.

Additional employment conditions

Work and science require good employment practices. This is reflected in Radboud University’s primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

Would you like more information?

For questions about the position, please contact Prof. dr. Herma Cuppen, Chair Hiring Committee at +31 24 365 3 0 35 or h.cuppen@science.ru.nl.

Practical information and applying

You can apply until 29 January 2023, exclusively using the button below. Kindly address your application to Prof. dr. Herma Cuppen. Please fill in the application form and attach the following documents:

  • A cover letter, indicating which professor level you are applying for.
  • Your curriculum vitae, including a list of publications.
  • A selection of max. 3 references to publications that were the result of an collaborative effort and a brief narrative of your role in the collaboration (attachment 1).
  • A research statement (maximum 2 pages) (attachment 2).
  • A teaching statement (maximum 1 page) (attachment 3).

Incomplete applications will not be considered.

The first round of interviews will take place in week 11 You would preferably begin employment on 1 August 2023.

We can imagine you’re curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates.