Postdoctoral Researcher in Causal Machine Learning for Spatio-temporal Data

1 maand geleden

Leiden, Zuid-Holland, Nederland Universiteit Leiden Voltijd
Job Title: Postdoc on Causal Machine Learning for Spatio-temporal Datasets

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are seeking a highly skilled Postdoc researcher to join a project focused on developing an advanced machine learning framework for spatio-temporal datasets.

Job Description:

We are looking for an excellent Postdoc researcher with a background in Computer Science (or a closely related field) to work on a project that aims to design algorithmic solutions for automatic and scalable assessment of interventions based on observational spatio-temporal datasets.

Key Responsibilities:
  • Conduct research within the scope of the project leading to peer-reviewed publications in journals and conference proceedings;
  • Collaborate closely with dr. Elena Raponi (the Natural Computing Group) and dr. Saber Salehkaleybar (the Explanatory Data Analysis Group) at LIACS;
  • Engage in teaching activities of the STAR Research Group and supervision of BSc and MSc students;
Requirements:
  • PhD degree in Computer Science, Artificial Intelligence or a closely related field;
  • Strong research vision and an academic mindset;
  • Strong publication record;
  • Excellent proficiency and communication skills in English;
  • Strong programming skills in Python or other programming languages;
What We Offer:

We offer a full-time 4-year position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 3.226,- until € 5.090,- gross per month (pay scale 10 in accordance with the Collective Labour Agreement for Dutch Universities).

How to Apply:

Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number:

  • A short cover letter detailing your motivation to apply for the position;
  • A brief description of your research plan describing a research idea and research questions that you would want to work on in light of this particular position (maximum two A4 pages);
  • An academic CV;
  • Ph.D. thesis when appropriate;
  • Link to key publications;
  • The names and addresses of two persons who can be contacted for reference (who have agreed to be contacted);

Only applications received before 30 September 2024 can be considered.

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