Research position in Artificial Intelligence (m/f/x)

LMU; München; Hybrid; EUR 60,000 - 70,000; Full time

Benefits offered by this job

Conference participation support

Summer schools funding

International collaboration

Job summary

Ludwig-Maximilians-Universität München invites applications for a research position in Artificial Intelligence (m/f/x) within the Munich School of Management. The role emphasizes AI methods for decision-making, with opportunities to teach and supervise student theses in a highly international setting.

Candidates should hold a Master’s degree in Mathematics, Statistics, Computer Science, or Data Science and demonstrate fluency in English.

Qualifications

• Master’s degree in Mathematics, Statistics, Computer Science or Data Science.
• Fluency in English required.
• Strong research orientation with publishing expectations.

Responsibilities

• Pursue high-impact AI/ML research for top-tier venues (e.g., NeurIPS, ICML, KDD).
• Teach at undergraduate/graduate level and supervise theses.
• Collaborate with international partners to advance AI in management.

Skills

Fluent English

Education

Master’s degree in Mathematics

Master’s degree in Statistics

Master’s degree in Computer Science

Master’s degree in Data Science

Job description

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

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 Communications, Management Science). 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 position in Artificial Intelligence (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. 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.

Generally, PhD students can pursue either (A) a method track or (B) an application track (or a combination thereof).

In the (A) method track, the aim is to make contributions to the top-tier outlets from ML/AI (e.g., NeurIPS, ICML, AISTATS, KDD). Here, we typically focus broadly on methods around causal machine learning. This includes (but is not limited to):

• causal machine learning
• causal representation learning,
• reinforcement learning
• off-policy evaluation/learning
• probabilistic ML / uncertainty quantification (e.g., diffusion models, Bayes)
• etc.

In the (B) application track, we aim to advance decision-making through new AI/ML tools across various application areas (e.g., sustainability, medicine, marketing). Here, PhD students regularly publish in various high-impact outlets (e.g., Nature Communications, Nature Medicine, Management Science, KDD) If desired, PhD students can collaborate actively with 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 practice. This includes:

• AI for Good to promote sustainable development
• AI/ML for business decision-making

Our research group is always open to own research proposals and further suggestions.

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

• Mathematics
• Statistics
• Computer Science
• Data Science

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 two 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 two years, with an option to extend until the end of the PhD. The starting date can 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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