Summary
The Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) is inviting applications for a Postdoctoral Position in the Institute for Materials Chemistry under the supervision of Prof. Dr. Anjana Devi. The project focuses on AI-guided molecular design of Atomic Layer Deposition (ALD) precursors and process development, combining artificial intelligence, machine learning, organometallic chemistry, and thin-film materials research. The appointment is initially for one year with the possibility of extension.
Postdoctoral Position in AI-Guided Molecular Design of ALD Precursors at IFW Dresden, Germany
Designation
Postdoctoral Researcher (m/f/div)
Research Area
- Atomic Layer Deposition (ALD)
- AI/ML in Materials Chemistry
- Organometallic Chemistry
- Molecular Design and Ligand Synthesis
- Thin-Film Materials
- Materials Chemistry and Engineering
- AI-driven Process Development
Location
Dresden, Germany
Eligibility/Qualification
Applicants should have:
- A PhD in:
- Inorganic Chemistry
- Organic Chemistry
- Materials Chemistry
- Chemical Engineering
- Related disciplines
Required skills and experience:
- Expertise in synthesis and characterization of organometallic compounds
- Experience handling air-sensitive compounds
- Hands-on knowledge of spectroscopic and spectrometric techniques
- Strong scientific writing and presentation skills
- Fluency in written and spoken English
- Ability to analyze scientific literature critically
Preferred qualifications:
- Experience with AI/ML approaches for predicting ALD precursor properties
- Knowledge of ALD fabrication and thin-film characterization
- Ability to coordinate with industry collaborators and manage project milestones
Job Description
The selected candidate will work on interdisciplinary research involving AI-driven precursor development for ALD technologies. Key responsibilities include:
- AI-guided ligand synthesis and precursor development for ALD
- Characterization of ALD precursors using advanced analytical methods
- Using AI/ML-generated predictions to synthesize novel ligands and precursors
- Collaborating with theoretical AI/ML research groups
- Interpretation of experimental data and molecular property predictions
- Validation of newly developed precursors for ALD process development
- Coordinating project activities with industrial collaborators
Benefits
The institute offers:
- Salary under German public service pay scale TV-L EG 13
- Modern research facilities at the campus of Technische Universität Dresden
- Flexible and family-friendly working hours
- 30 days of annual leave
- Pension scheme (VBL)
- Germany job ticket benefits
- Annual special payment and capital-forming benefits
- Health management and sports facilities
- Language courses and professional training opportunities
- Childcare support partnerships
- Subsidized company restaurant
How to Apply
Candidates must submit the following documents in a single PDF file:
- Motivation letter describing research career goals
- Curriculum Vitae (CV)
- Relevant academic transcripts
- Training certificates
- Contact details of at least two professional references
Applications should mention the Reference Number: 036-26-3040.
Learn more about the institute here:
IFW Dresden Official Website
Last Date for Apply
31 May 2026
