Two open PhD positions in Mathematical Statistics with non-Euclidean data

Universidad Carlos III de Madrid and Karlsruhe Institute of Technology; España; Presencial; EUR 21.000; Jornada completa

Descripción de la vacante

The Universidad Carlos III de Madrid and the Karlsruhe Institute of Technology are seeking two fully-funded PhD fellows for the STENED project, with responsibilities in advanced statistical research. Candidates should hold or expect to obtain a Master's in Mathematics or Statistics, demonstrating an outstanding academic record and motivation.

Servicios

Competitive salaries

Funding for yearly research stays

Exciting working environment with fellow PhD students

Possibility of contract extension

Formación

• Candidates expected to have a Master's or Bachelor's in relevant fields.
• Research position requires excellent academic performance.
• Motivation and passion for statistics are essential.

Responsabilidades

• Develop inferential toolbox for non-Euclidean distribution models.
• Conduct advanced mathematical statistics research.

Conocimientos

Mathematics

Statistics

High motivation

Outstanding academic record

Educación

Master in Mathematics or Statistics

Bachelor in Mathematics or Statistics

Descripción del empleo

Universidad Carlos III de Madrid and Karlsruhe Institute of Technology

Organisation/Company Universidad Carlos III de Madrid and Karlsruhe Institute of Technology Department Department of Statistics Research Field Mathematics » Statistics Mathematics » Probability theory Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 15 Nov 2025 - 12:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The ‘Stein-based goodness-of-fit TEsts for Non-Euclidean Data’ (STENED) project seeks to hiretwo fully-funded PhD fellows expected tostart in January 2025 (preferably) or June 2025 at the latest.

One of the main objectives of STENED is to leverage Stein’s method to create an overarching inferential toolbox for parametric and semiparametric distribution models defined on non-Euclidean supports. The pursuit of this goal involves developing cutting-edge mathematical statistics and computational methods.

The STENED project is funded through the ‘AEI-DFG Call for Joint Spanish-German Research Projects’ and is jointly participated by the Karlsruhe Institute for Technology (KIT) and Universidad Carlos III de Madrid (UC3M). The project is co-led by Dr. Bruno Ebner (KIT) and Dr. Eduardo García Portugués (UC3M).

One PhD position is offered at KIT, and another PhD position is offered at UC3M. The work locations are at the Institute for Stochastics (Karlsruhe, Baden-Württemberg, Germany) and the Department of Statistics (Leganés, Community of Madrid, Spain), respectively.

We offer:

• Two 3-year PhD contracts, each with a possibility of an additional year extension.
• Competitive salaries in KIT and UC3M, respectively.
  • In KIT, a gross yearly salary of €41,000, corresponding to 75% TV-L E13 position.
  • In UC3M, a gross yearly salary of €21,000.
• Funding for yearly research stays at KIT and UC3M, and at other universities.
• An exciting working environment with other motivated PhD students.

We look for candidates with:

• Master in Mathematics, Statistics, or comparable studies (or completion in 2024/2025).
• Bachelor in Mathematics, Statistics, or comparable studies.
• Outstanding academic record.
• High motivation.

To apply for the position, send yourCV, academic records, motivation letter, and a list of two referrers to [e-mail] [e-mail] before the applicationdeadline on 15 November 2024. Send possible questions to both email addresses. Shortlisted candidates will be called for online interviews after the deadline.

We welcome applications from individuals of all backgrounds, including, but not limited to, gender identity, nationality, religion, age, ethnicity, or disability. We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.

Where to apply

E-mail [e-mail]

Requirements

Research Field Mathematics » Statistics Education Level Bachelor Degree or equivalent

Languages ENGLISH Level Excellent

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute Department of Statistics, Universidad Carlos III de Madrid Country Spain State/Province Comunidad de Madrid City Leganés Postal Code 28911 Street Avenida de la Universidad, 30 Geofield

Number of offers available 1 Company/Institute Institute of Stochastics, Karlsruhe Institute of Technology Country Germany State/Province Baden-Württemberg City Karlsruhe Postal Code 76131 Street Englerstraße 2 Geofield