Postdoctoral research fellow in Statistics at the Humboldt University of Berlin
Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

Berlin Vollzeit 45000 - 63000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join our team to explore cutting-edge Bayesian statistical learning and high-dimensional models.
  • Arbeitgeber: Humboldt University of Berlin is a leading institution fostering innovative research and collaboration.
  • Mitarbeitervorteile: Enjoy full-time employment with potential for extension, plus opportunities for scientific qualification and career growth.
  • Warum dieser Job: Be part of a vibrant international network and work alongside top researchers in applied sciences.
  • GewĂĽnschte Qualifikationen: PhD in Statistics or related field, strong programming skills, and a passion for developing novel methodologies.
  • Andere Informationen: We encourage applications from women and individuals with diverse backgrounds.

Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.

Postdoctoral Research Fellow in Statistics at the Humboldt University of Berlin

Jan 8, 2020

The working group of Statistics at Humboldt University of Berlin invites applications for:

1 Postdoctoral Research Fellow (full-time employment, 3 years with extension possible)

to contribute to the research on mathematical and statistical aspects of Bayesian statistical learning approaches and novel methods towards high-dimensional distributional models. The research positions are associated with the Emmy Noether group Regression Models beyond the Mean – A Bayesian Approach to Machine Learning and the working group of Applied Statistics at the School of Business and Economics at Humboldt-Universität Berlin. Opportunities for scientific qualification (PhD) and career development are provided.

Requirements:
– An outstanding PhD in Statistics, Mathematics, or a related field with specialization in Statistics, Data Science, or Mathematics;
– A strong background in at least one of the following fields: computational methods, Bayesian statistics, variational inference, statistical learning, high-dimensional regression modelling, mathematical statistics;
– A thorough mathematical understanding;
– Substantial experience in scientific programming with Matlab, Python, C/C++, R, or similar;
– A strong interest in developing novel statistical methodology and its applications in various fields such as economics or natural and life sciences;
– Very good communication skills and team experience, proficiency in written and spoken English (German is not obligatory).

Opportunities:
We offer a unique environment of young researchers and leading international experts in the fields. The vibrant international network includes established collaborations in Singapore and Australia. The positions offer potential to closely work with several applied sciences. Information about the research profile of the research group can be found through the following link: Research Group Profile . The positions are paid according to the Civil Service rates of the German States “TV-L”, E13 (if suitably qualified).

Applications should include:
– A CV with a list of publications;
– A motivational statement (at most one page) explaining the applicant’s interest in the announced position as well as their relevant skills and experience;
– Copies of degrees/university transcripts;
– Names and email addresses of at least two professors that may provide letters of recommendation directly to the hiring committee. Applications should be sent as a single PDF file to: Prof. Dr. Nadja Klein (nadja.klein(at)hu-berlin.de), whom you may also contact for questions concerning this job post. Please indicate “Research Position Emmy Noether”.

Application Deadline: 31st of January 2020

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

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Postdoctoral research fellow in Statistics at the Humboldt University of Berlin Arbeitgeber: The International Society for Bayesian Analysis

Humboldt University of Berlin is an exceptional employer, offering a dynamic and collaborative research environment that fosters innovation in statistics and machine learning. With access to a vibrant international network and opportunities for career development, including potential PhD qualifications, employees are encouraged to grow and excel in their fields. The university's commitment to diversity and inclusion, along with its supportive work culture, makes it an attractive place for researchers looking to make meaningful contributions in a prestigious academic setting.
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Kontaktperson:

The International Society for Bayesian Analysis HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

✨Tip Number 1

Familiarize yourself with the specific research focus of the Emmy Noether group. Understanding their current projects and methodologies will help you tailor your discussions during the interview and demonstrate your genuine interest in their work.

✨Tip Number 2

Network with current or former members of the working group or related fields. Engaging with them can provide insights into the team dynamics and expectations, which can be invaluable when preparing for your application and potential interviews.

✨Tip Number 3

Showcase your programming skills by discussing relevant projects or experiences during the interview. Highlighting your proficiency in languages like Python or R, especially in the context of Bayesian statistics or high-dimensional models, will set you apart from other candidates.

✨Tip Number 4

Prepare thoughtful questions about the research group's future directions and collaborations. This not only shows your enthusiasm but also your proactive approach to contributing to their ongoing projects and your long-term vision within the team.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

PhD in Statistics, Mathematics, or related field
Specialization in Statistics, Data Science, or Mathematics
Strong background in computational methods
Expertise in Bayesian statistics
Knowledge of variational inference
Experience in statistical learning
Proficiency in high-dimensional regression modelling
Thorough mathematical understanding
Scientific programming experience with Matlab, Python, C/C++, R, or similar
Interest in developing novel statistical methodology
Application of statistical methods in economics or natural and life sciences
Very good communication skills
Team experience
Proficiency in written and spoken English

Tipps für deine Bewerbung 🫡

Understand the Research Group: Familiarize yourself with the research profile of the Emmy Noether group and the working group of Applied Statistics. This will help you tailor your motivational statement to align with their focus on Bayesian statistical learning approaches.

Craft a Strong Motivational Statement: Your motivational statement should clearly express your interest in the position and highlight your relevant skills and experiences. Make sure to connect your background in statistics, data science, or mathematics to the specific research themes mentioned in the job description.

Prepare Your CV and Publications List: Ensure your CV is up-to-date and includes a comprehensive list of your publications. Highlight any experience with computational methods and programming languages like Matlab, Python, or R, as these are crucial for the role.

Gather Recommendation Contacts: Identify at least two professors who can provide strong letters of recommendation. Make sure to include their names and email addresses in your application, as this is a requirement for the submission.

Wie du dich auf ein Vorstellungsgespräch bei The International Society for Bayesian Analysis vorbereitest

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to Bayesian statistics and high-dimensional models. Highlight any innovative methodologies you developed and how they contributed to your field.

✨Demonstrate Technical Proficiency

Make sure to mention your experience with programming languages like Python, R, or Matlab. Be ready to provide examples of how you've used these tools in your research, particularly in statistical learning or computational methods.

✨Communicate Clearly

Since good communication skills are essential, practice explaining complex statistical concepts in simple terms. This will show your ability to collaborate effectively within a team and convey ideas to non-experts.

✨Express Your Interest in the Position

In your motivational statement, clearly articulate why you are excited about this specific role at Humboldt University. Connect your background and interests to the research group's focus on novel statistical methodologies and their applications.

Postdoctoral research fellow in Statistics at the Humboldt University of Berlin
The International Society for Bayesian Analysis
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