Postdoctoral Researcher: Probabilistic Graphical Models at the Donders Centre for Cognition

9 May 2023
Job Information

Organisation/Company

Radboud University

Research Field

Cultural studies

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

4 Jun 2023 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

28.0

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 interested in Bayesian networks in foundational topics and their application in clinical decision support systems? Do you want to work in an interdisciplinary environment and collaborate with mathematicians, cognitive scientists and medical specialists? If so, this vacancy may be for you!

The Personalised Care in Oncology (PersOn) consortium is looking for a Postdoctoral Researcher in Probabilistic Graphical Models (PGM) to work on explainability and justification in Bayesian networks. Together with other postdoctoral researchers and PhD candidates from various backgrounds, you will lay the foundations for the next generation of clinical decision support systems for treatment and follow-up in oncology. You will work closely together with other PGM experts, as well as with researchers, healthcare practitioners, and stakeholders in explainable decision support. Your work will involve foundational research, advancing the state of the art in Bayesian networks, as well as applied research, focusing on user requirements in terms of explanation and justification to help advance shared decision making about personalised healthcare.

You will be embedded in the Foundations of Natural and Stochastic Computing group within the AI department, where fundamental and applied research on Bayesian networks is one of the core research lines. You will be expected to help define the group's research focus and positioning within the Donders Centre for Cognition (DCC) and in the international PGM community, and to help maintain a safe and inspiring research environment for our team members. If so desired, you will be given the opportunity to develop your teaching skills, helping you further qualify for a career as independent academic researcher.

Requirements
Specific Requirements

• You have a PhD in computer science, artificial intelligence, applied mathematics, or a similar field.
• You have a strong background in AI research, with a focus on theoretical and/or applied work in probabilistic graphical models, as demonstrated by relevant conference or journal publications.
• You are motivated to work in a team, contribute to team science, and to the smooth functioning of the group and department, as well as pursue your independent research line.
• You are fluent in written and spoken English.
• Affinity with the healthcare domain is preferred.

Additional Information
Benefits

• It concerns an employment for 0.7 (48 months) - 1.0 (33,5 months) FTE.
• The gross monthly salary amounts to a minimum of €3,974 and a maximum of €5,439 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 11 ).
• You will receive 8% holiday allowance and 8.3% end-of-year bonus.
• It concerns a temporary employment for 2,8 - 4 year(s).
• 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 16 May 2023, exclusively using the button below. Kindly address your application to Dr Johan Kwisthout. Please fill in the application form and attach the following documents:

• A Letter of motivation.
• Your CV.
• A research plan (1-2 pages).

The first round of interviews will take place on Wednesday 24 May. You would preferably begin employment on 1 September 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.

Additional comments

For questions about the position, please contact Dr Johan Kwisthout, PersOn programme leader, supervisor at +31 (0)24 3655977 or [email protected].

Website for additional job details

https://www.academictransfer.com/327524/

Work Location(s)

Number of offers available

1

Company/Institute

Radboud University

Country

Netherlands

City

Nijmegen

Postal Code

6525 XZ

Street

Houtlaan 4

Where to apply

Website

https://www.academictransfer.com/327524/postdoctoral-researcher-probabilistic-g…

Contact

City

Nijmegen

Website

http://www.ru.nl/

Street

Houtlaan 4

Postal Code

6525 XZ

STATUS: EXPIRED