Postdoctoral Researcher in Statistics for High-dimensional Datasets

Updated: 2 months ago
Deadline: 29 Mar 2024

8 Feb 2024
Job Information
Organisation/Company

Radboud University
Research Field

Physics
Researcher Profile

Recognised Researcher (R2)
Country

Netherlands
Application Deadline

29 Mar 2024 - 23:00 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Are you an enthusiastic statistician who is looking for a new project into statistical methods for modern datasets such as omics and images? Then come and join us and contribute to the development and implementation of statistical models as a postdoctoral researcher. You will work in a friendly and welcoming atmosphere, where you can put your ideas to the test and push your boundaries as a scientist.

We have two positions available. One position focuses on the development of novel models for multi-modal data integration and is part of a European project on neurogenerative diseases. Recently, we developed a model for integration of several omics datasets measured in cell lines using latent variable models. You will build upon this work to include omics data measured in brain tissue and non-omics datasets such as drug screens in the model. You will use the models for analysis of the consortium datasets. You will present the results in network meetings. Your output will be used to prioritise genes and drug compounds for further investigations. The project lasts 30 months.

The second position focuses on novel models for longitudinally measured brain images. The project is part of an ongoing collaboration on functional data analysis methods with the Department of Statistics of the University of Leeds (UK) and lasts 24 months. To address the high dimensionality of this data, a simple functional data model has been proposed and an estimation procedure was developed. However, it appears that the simple model fits poorly in some situations. You will therefore develop methods to assess goodness-of-fit of the model and evaluate possible extensions. You will use the models to analyse open-source images.

Neither of the two positions carries any teaching duties. Applicants from groups that are underrepresented in science are particularly encouraged to apply. Applicants should hold a PhD degree in statistics, have advanced programming skills and some experience in data analysis.


Requirements
Specific Requirements
  • You hold a PhD degree in statistics or applied statistics, or you are on track to obtain one before the start of the project.
  • You have experience in scientific programming in R or a similar language.
  • You may have experience in analyses of omics datasets and images.
  • You are an enthusiastic statistician and are eager to contribute to the research project.
  • You are able to work as part of a team and independently.
  • You are able to collaborate on international, cross-disciplinary projects.
  • You have a good proficiency in English.

Additional Information
Benefits
  • It concerns an employment for 0.8 - 1.0 FTE.
  • The gross monthly salary amounts to a minimum of €3,226 and a maximum of €5,090 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 10 ).
  • You will receive 8% holiday allowance and 8.3% end-of-year bonus.
  • One position temporary for 2 years and the other position temporary for 2,5 years.
  • 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.

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.


Selection process

You can apply until 29 March 2024, exclusively using the button below. Kindly address your application to Jeanine Houwing-Duistermaat. Please fill in the application form and attach the following documents:

  • A letter of motivation.
  • Your CV, including the contact details of two references.
  • An academic transcript of your MSc degree stating all courses taken and grades obtained.

The first round of interviews will take place on Monday 15 April. The second round of interviews will take place on Monday 22 April.

You would preferably begin employment on 1 July 2024.
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. If you wish to apply for a non-scientific position with a non-EU nationality, please take notice of the following information .


Additional comments

For questions about the position, please contact Jeanine Houwing-Duistermaat, Professor at +31 24 365 29 86 or +31 24 365 29 85 or [email protected] .


Website for additional job details

https://www.academictransfer.com/337521/

Work Location(s)
Number of offers available
2
Company/Institute
Radboud University
Country
Netherlands
City
Nijmegen
Postal Code
6525 XZ
Street
Houtlaan 4
Geofield


Where to apply
Website

https://www.academictransfer.com/en/337521/postdoctoral-researcher-in-statistic…

Contact
City

Nijmegen
Website

http://www.ru.nl/
Street

Houtlaan 4
Postal Code

6525 XZ

STATUS: EXPIRED

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