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EURAXESS Researchers in motion

Job offer

  • JOB
  • Germany

PhD Position “Machine Learning of Multi-Species Microbial Consortia Representations”

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18 Jul 2024

Job Information

Organisation/Company
Universität Leipzig
Department
Faculty of Physics and Earth System Sciences, Peter Debye Institute for Soft Matter Physics
Research Field
Physics
Researcher Profile
First Stage Researcher (R1)
Positions
PhD Positions
Country
Germany
Application Deadline
Type of Contract
Temporary
Job Status
Part-time
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 Research and Transfer Center for Bioactive Matter (b-ACTmatter) at Leipzig University is currently offering a doctoral researcher position under the supervision of Prof. Dr. Frank Cichos. The position is part of the M-ERA.NET Call 2023 funded project 

“LivMat – Productive catalytic living materials: combining 3D biobased fibrillar membranes with synthetic microbial consortia to produce chemicals”

We seek to fill the above position from October 1, 2024.

Leipzig University coordinates the LivMat project, and the consortium consists of the Helmholtz-Centre for Environmental Research (Leipzig, Germany), University of Latvia (Riga, Latvia), Istanbul Technical University (Istanbul, Turkey), Kaunas University of Technology (Kaunas, Lithuania), and Solaga UG (Germany). 

In this project, we aim to capture and utilize natural resources (e.g., natural fibers) and waste resources (e.g., CO2) to develop catalytic living materials (cat-LMs) that are robust, energy efficient and scalable for chemical production. The goal of this PhD project is, in particular, to develop machine learning models that can predict the properties of multi-species microbial communities from fundamental properties of bacteria.

We are seeking a highly motivated PhD candidate with an excellent master’s degree in physics or in an equivalent relevant subject area with excellent English proficiency. A strong computational background and previous experience with machine learning is an advantage.

The successful candidate will perform cutting edge computational research on the development of digital bacterial representations and the machine learning guided prediction microbial consortia properties and their optimization. 

The candidate should be committed to collaborative and highly interdisciplinary teamwork and have excellent oral and written communication skills. The computational work will enable the successful candidate to acquire expert skills and knowledge of innovative machine learning methods applied to a highly relevant topic of new bio-based sustainable materials.

Salaries will be according to DFG standards.

Applications including 1) a letter of interest (max. 1 page), clearly stating the specific motivation of the candidate to join the group, work on this project, career goals, etc., 2) a CV, 3) grade transcripts or equivalent record of excellent academic performance, clearly indicating courses taken and grades in each course (for MS and BS), 4) the names of at least two consenting referees should be sent to cichos@physik.uni-leipzig.de. The application deadline is August 30, 2024.

Please visit our group website for more details about our research:
https://www.uni-leipzig.de/~mona

Where to apply

E-mail
cichos@physik.uni-leipzig.de

Requirements

Research Field
Physics
Education Level
Master Degree or equivalent

Additional Information

Work Location(s)

Number of offers available
1
Company/Institute
Universität Leipzig, Molecular Nanophotonics Group
Country
Germany
Geofield

Contact

City
Leipzig
Website
Street
Linnéstr. 5
Postal Code
04103
E-Mail
cichos@physik.uni-leipzig.de

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