Research Assistant (PhD Candidate) in Artificial Intelligence in Medicine (m/f/x)

LMU; München; Presencial; EUR 52.000 - 68.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International team

Part-time option

Research conference support

Descripción de la vacante

LMU Munich, Faculty of Business Administration - Munich School of Management, Institute of Artificial Intelligence in Management, invites applications for a Research Assistant (PhD Candidate) in Artificial Intelligence in Medicine. The role focuses on developing AI/ML methods for decision-making in clinical contexts and may involve teaching at the undergraduate and/or graduate level.

The position is grant-funded for two years with potential extension toward the PhD.

Formación

• Master’s degree in Mathematics, Statistics, Computer Science, Data Science, or Bioinformatics.
• Fluency in English and strong research orientation.
• Experience with AI/ML techniques and data-driven decision making is desirable.

Responsabilidades

• Carry out AI/ML research for decision-making in medicine.
• Contribute to teaching at undergraduate and/or graduate level and supervise student theses.

Educación

Master's degree in Mathematics

Master's degree in Statistics

Master's degree in Computer Science

Master's degree in Data Science

Master's degree in Bioinformatics

Descripción del empleo

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Business Administration - Munich School of Management - Institute of Artificial Intelligence (AI) in Management

Remuneration group TV-L E13

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

Start date As soon as possible (the position is initially for two years)

About us:

We are a team of international researchers led by Prof. Stefan Feuerriegel to push the frontier of AI for decision-making. Our team is highly diverse and comes from different countries and areas (e.g., machine learning, statistics, economics, engineering). We develop, implement, and evaluate new AI algorithms to improve data-driven decision-making. Our team publishes regularly in the top-tier AI/ML conferences (e.g., NeurIPS, ICML, KDD) but also in application-oriented outlets (e.g. Nature Medicine, Lancet Digital Health, npj Digital Medicine). Importantly, our institute has a double affiliation with the Faculty of Mathematics, Informatics, and Statistics, which allows us to pursue a broad vision aimed at impact across teaching and research.

Research Assistant (PhD Candidate) in Artificial Intelligence in Medicine (m/f/x)

Your tasks and responsibilities:

We are seeking highly motivated candidates with a passion for research and a drive to make groundbreaking contributions in the field of AI in medicine. Research outlook is a top-priority for the position. Candidates will also gain experience in teaching at the undergraduate and/or graduate level and may supervise student theses.

We aim to advance decision-making through new AI/ML tools medical applications. Here, PhD students regularly publish in various high-impact outlets (e.g., Nature Communications, Nature Medicine,). If desired, PhD students can collaborate actively with university hospitals and research partners (e.g., Harvard Medical School, Cambridge Centre for AI in Medicine) to solve the big problems of time. The focus is to show the value created by new AI/ML tools and to apply them in medical practice. This includes:

• Causal ML for treatment recommendation
• AI/ML for predictive biomarker discovery, patient trajectory modelling, and synthetic data generation.
• AI agents to support medical reasoning

The position is grant-funded and involves working with actual clinical stakeholders to create real-world impact.

The candidate has a Master’s degree in one of the following subjects:

• Mathematics
• Statistics
• Computer Science
• Data Science
• Bioinformatics

Our team language is English, so fluency in English is required.

You will be in a motivated, international team with a very vibrant atmosphere. Our offices are in central Munich. During this time, participation in conferences, summer schools, and voluntary exchange programs are also supported. Work is almost entirely research-centered with limited teaching duties.

We work with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for today’s and tomorrow’s global challenges. It is common for successful candidates to visit our international network for research stays at their premises.

Past graduates have landed top positions in both industry (e.g., BCG, startups with multi-million seed funding) and academia (e.g., University of Oxford, ETH Zurich).

The position is initially for 2 years, with an option to extend until the end of the PhD. The starting date can be set individually, based on mutual agreement.

LMU Munich is an equal opportunity employer, committed to enhancing the diversity of its faculty. We encourage female candidates to apply.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Benefits:

You will be in a motivated, international team with a very vibrant atmosphere. Our offices are in central Munich. During this time, participation in conferences, summer schools, and voluntary exchange programs are also supported. Work is almost entirely research-centered with limited teaching duties.

We work with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for today’s and tomorrow’s global challenges. It is common for successful candidates to visit our international network for research stays at their premises.

Past graduates have landed top positions in both industry (e.g., BCG, startups with multi-million seed funding) and academia (e.g., University of Oxford, ETH Zurich).

The position is initially for 2 years, with an option to extend until the end of the PhD. The starting date can be set individually, based on mutual agreement.

LMU Munich is an equal opportunity employer, committed to enhancing the diversity of its faculty. We encourage female candidates to apply.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

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