In this post, we have listed all available fully funded Master, PhD (LMU PhD) and Research Vacancies at Ludwig Maximilian University of Munich (LMU) in Germany with all essential details.

Master, PhD, and Postdocs at University of Munich (LMU)

11 October 2021

Our team of experts has meticulously curated a comprehensive list of fully funded opportunities, including Master’s, PhD, and Research positions at the prestigious Ludwig Maximilian University of Munich (LMU) in Germany. Each listing comes complete with all the essential information you need to make an informed decision about your academic and research pursuits.

Available Fully Funded Master ,PhD (LMU PhD) and Postdoc Positions at the Ludwig Maximilian University of Munich

Ludwig Maximilian University of Munich (LMU) is a prestigious and renowned institution located in Munich, Germany. Founded in 1472, it is one of Europe’s oldest and most distinguished universities. LMU is known for its exceptional academic programs, cutting-edge research, and a rich history of scholarly excellence.

At LMU, aspiring researchers have the opportunity to pursue fully funded PhD and Postdoctoral positions with competitive salaries. These positions are offered across a wide range of disciplines, allowing scholars to engage in groundbreaking research and contribute to the university’s tradition of academic excellence.

In the next section of this post, we will provide detailed information about the various fully funded PhD and Postdoctoral positions available at LMU, highlighting the specific fields of study, application requirements, and benefits for prospective candidates.

Available Fully Funded Master and PhD Positions (LMU PhD) at the Ludwig Maximilian University of Munich

Below, you can access a comprehensive listing of fully funded Master’s and PhD positions, offered at the Ludwig Maximilian University of Munich.

Title: PhD position in epistemology of machine learning (m/f/x)

Location: Faculty of Philosophy, Philosophy of Science and the Study of Religion – Chair of Philosophy of Science, MCMP

Deadlines: 01.05.2024

Start date: 2024-10-01, fixed-term until 2026-03-31 with an optional extension of 20 months

Full-time / Part-time: Part-time (65%)

Remuneration group: TV-L E13

Summary:

In this role, you will conduct research in mathematically-oriented philosophy of machine learning, contributing to the development of your scientific profile. Responsibilities include presenting research findings through peer-reviewed articles in academic journals and presentations at relevant conferences, as well as participating in group activities such as organizing workshops.

Requirements:

Ideal candidates will possess an excellent master’s degree in philosophy, logic, computer science, or related fields. They should demonstrate a background and strong interest in the philosophy of artificial intelligence and/or philosophy of science, with an affinity for the mathematics and epistemology of machine learning. Proficiency in English is required, along with a high level of motivation, personal responsibility, and the ability to work effectively in a team.

More Details and Apply.

Available Postdoctoral Positions at the Ludwig Maximilian University of Munich

Here, in the following section, you can explore all the current Research vacancies available at the Ludwig Maximilian University of Munich, including LMU Postdoctoral positions.

Title: Postdoc Position Sleep and Circadian-Driven Nuclear Multi-Omics Dynamics (m/f/x)

Location: Faculty of Medicine – Institut für Medizinische Psychologie

Deadlines: 01.05.2024

Start date: as soon as possible

Full-time / Part-time: Full-time (100%)

Summary:

They are seeking a highly motivated and talented postdoc to join the Robles group, Systems Chronobiology, at LMU Munich, Germany. This position, funded by the Chan Zuckerberg Initiative Neurodegeneration Challenge Network (NCDN), is part of a collaborative project with Angel Barco’s laboratory at the Neuroscience Institute in Alicante, Spain. The project aims to characterize circadian and sleep-driven nuclear multi-omics dynamics in various mouse brain cells using advanced RNAseq and proteomics technology.

Requirements:

They seek a motivated and enthusiastic postdoctoral researcher with the following qualifications:

  • Recent doctoral degree in biochemistry, bioinformatics, or related fields.
  • Experience with high-throughput quantitative proteomics and DIA methods; a background in subcellular proteomics is advantageous.
  • Proficiency in operating nanoLC-HPLC and Thermo Orbitrap instruments.
  • Ability to conduct large-scale multi-omics data analysis and proficiency in programming languages such as R and Python.
  • Excellent written and oral communication skills in English, with proficiency in German being a plus.
  • Capacity to work independently, collaborate with a multicultural team and external partners, and mentor graduate and undergraduate students.

More Details and Apply.

Title: Research and Teaching Assistant (PhD Candidate) in Applied Artificial Intelligence (m/f/x)

Location: Faculty of Business Administration – Munich School of Management – Institute of AI in Management

Deadlines: 10.05.2024

Start date: As soon as possible (The position is initially for one year with an option to extend until the end of the PhD)

Full-time / Part-time: Full-time (100%)

Summary:

They are seeking a Research and Teaching Assistant (PhD Candidate) in Applied Artificial Intelligence to join their team in Munich. The role requires candidates to be highly self-motivated for creative and independent research. Additionally, candidates will gain teaching experience in undergraduate and graduate courses and seminars and support students in thesis work. The position is primarily research-focused, with limited teaching responsibilities.

Requirements:

Ideal candidates should possess a master’s degree in mathematics, applied mathematics, statistics, computer science, or business informatics (or a related field). Fluency in English is essential. The candidate should have an interest in topics such as causal machine learning, machine learning, deep learning, artificial intelligence, probabilistic machine learning, Bayesian learning, policy learning, and statistics. The research group welcomes candidates’ own proposals and suggestions for research topics.

More Details and Apply.

If you’re still in search of the right role, we invite you to explore the upcoming posts for exciting PhD and Postdoc opportunities in Germany:

PhD and Postdocs in Germany

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