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PhD Position (m/f/d) – Machine Learning for Circuit Reliability Analysis 

Job-ID: 30912/26 | Department: System Architecture | Salary: as per tariff (TV-L13) | Working Time: 40h/week | Limitation: initially two years with extension option | Starting Date: as soon as possible 

The position:
We are seeking a highly motivated PhD student to conduct research at the intersection of machine learning, electronic design automation (EDA), and electronic circuit reliability.
The position is part of a three-year research project funded by the German Research Foundation (DFG). The project aims to develop novel machine-learning methods for the analysis and prediction of circuit reliability, with the goal of making reliability assessment more efficient, scalable, and suitable for increasingly complex electronic systems.
The successful candidate will have the opportunity to investigate fundamental research questions and develop novel approaches using modern machine-learning techniques. Depending on the research direction and the candidate’s interests, possible approaches may include deep learning, graph neural networks, transfer learning, explainability of machine learning, and optimization methods.
The PhD student will have substantial freedom to develop their own research ideas within the framework of the project. The research is expected to lead to scientific publications at international conferences and in peerreviewed journals. 

Your qualifications:
Required qualifications:

• Master’s degree or equivalent in Computer Science, Electrical/Electronic Engineering, Data Science, Machine Learning, or a related field
• Strong theoretical and practical knowledge of machine learning and deep learning
• Good understanding of fundamental concepts such as optimization, generalization, and model evaluation
• Strong programming skills, particularly in Python and preferably PyTorch or a comparable machinelearning framework
• Strong analytical and problem-solving abilities
• Ability to read, understand, and critically evaluate scientific literature
• Strong interest in scientific research and the development of novel methods
• Ability and willingness to work independently and take responsibility for your own research
• Very good written and spoken English 

Desirable qualifications
Experience in one or more of the following areas is advantageous: 

• Electronic design automation (EDA)
• Circuit reliability, fault analysis, aging, or reliability modeling
• RTL design, Verilog/SystemVerilog, FPGA, or ASIC design
• Digital circuit design or verification
• Graph neural networks and graph representation learning
• Experience with EDA tools or circuit simulation
• Previous research experience, for example through a Master’s thesis, research project, publications, or open-source contributions 

A strong background in machine learning is particularly valued. Previous experience in circuit design or EDA is an advantage but is not required, provided that the candidate has a strong interest in learning the relevant domain. 

Further Information  Online Application Form

Research Engineer (m/f/d) for DevOps and Design Infrastructure 

Job-ID: 3046/26 | Department: System Architecture | Working Time: 40h/week| Salary: E13 TV-L | Limitation: 2 years with option of extension | Entry Date: as soon as possible 

The position:
We are looking for a technically skilled engineer to join the System Architectures Department as our in-house interface to the central IT infrastructure. You will be responsible for setting up, maintaining, and operating the full technical stack our research and development work depends on — from bare-metal servers and EDA tool environments to design flows and compute cluster management. The goal is to ensure our teams get what they need, when they need it.
Beyond operations, you will help us turn our hardware development infrastructure into a living data source. By extracting, structuring, and processing data from our design flows and tools, you will enable real-time insight into our development processes — an area with genuine research potential and the possibility of contributing to publications. As our in-house DevOps engineer, you will build and operate the technical foundation our hardware development teams rely on: 

• Setup and administration of servers, operating systems, and virtualization environments
• EDA tool and HW development flow management, including license administration
• Repository management and CI/CD pipelines for hardware and software IP
• AI compute cluster management, including resource allocation and user access 

Beyond infrastructure operations, you will help us make our design data actionable. This includes extracting, structuring, and processing data from our development flows and tools so that we can monitor, analyze, and act on it in real time: 

• Data governance, modeling, and IP inventory management
• Database setup and maintenance for design and flow data
• Metadata enrichment and data pipeline development
• Evaluation of tools and frameworks for data management and visualization
• Development of internal dashboards and interfaces for live monitoring of infrastructure and design flows 

Your qualifications:
You hold a Master's degree in Computer Science, IT Engineering, or a related field. You have solid experience in Linux system administration and DevOps practices, including version control, CI/CD tooling, and containerization. A structured approach to data management and documentation is expected. Familiarity with EDA or hardware development environments is a strong plus. Experience with databases, data pipelines, or visualization tools is beneficial. You enjoy working closely with research and engineering teams and take ownership of the infrastructure they rely on.
You will also be a strong team player. We are looking for a team member who can structure their own work and bring a well-organized and systematic approach to working with creative minds. You will be an ideal fit for this position if you have experimental, analytical, and problem-solving skills, very strong communication skills, and the ability to quickly learn how to use the latest technical equipment, including various software. You must be fluent in English. German language skills are welcome. Further development of German language skills is expected and strongly encouraged, e.g. through in-house language courses and intensive courses. 

Further Information  Online Application Form

Developer for Open Source Assembling Design Kit for IHP Hetero- and ChipletIntegration (m/w/d) 

Job-ID: 70913/26 |Dept.: Technology |Salary: according TV-L |Working time: 40h/week |Limitation: initially 2 years with option of extension |Entry Date: as soon as possible 

The position:
IHP is the first European semiconductor manufacturer to introduce an open PDK in early 2023. Compared to the other two open PDKs (Google/SkyWater 130nm CMOS and GlobalFoundries 180nm CMOS), the IHP process is a BiCMOS technology that incorporates one of the fastest SiGe HBTs (heterojunction bipolar transistors). As a result, this open-source PDK is capable of supporting digital and mixed-signal designs, as well as high-frequency designs for future applications up to 100GHz.
As a member of the Research & Prototyping Service group, you will be directly involved in the development of open source EDA tool support for our design projects. In the context of new heterogeneous and chiplet integration efforts, we are developing an ADK alongside open-source EDA tool interfaces. Your primary focus will be the integration of electromagnetic, thermal, and mechanical simulation tools—all open-source—into the ADK design flow, enabling advanced multi-technology and multi-die design environments.
In addition to working with open source tools, proprietary tools will also be considered throughout the design flow.

Your profile:
You hold a Master's degree in physics, electrical engineering, or computer science and bring knowledge in semiconductor technology and devices, as well as experience in IC design and programming. Specialized expertise in packaging techniques, device simulation, and modeling is highly desirable. You are proficient with Linux, GitHub, and scripting languages such as Python. Experiences in Perl or Tcl will be considered as additional qualification.
Experiences with at least one IC layout tool (e.g., KLayout, Magic, Cadence, Synopsys, or Siemens EDA) and at least one PCB layout tool (e.g., KiCad, Altium, or similar) will be highly valued. You are expected in developing open-source tools to contributions to open source projects. 
You are organized, capable of managing multiple projects in parallel, and maintain a clear overview in dynamic settings. With strong communication skills, you serve as a reliable and engaging contact for partners and collaborators.
You are also a strong team player. We are looking for a team member, who is able to structure his or her own work and to bring a well-organized and systematic way of working into the cooperation with creative minds. You are an ideal match for this position, when you have experimental, analytical and problem-solving skills, very strong communicative skills and the ability to quickly learn how to operate the latest technical equipment including various software. It is necessary that you confidently handle the English language. Knowledge of the German language is welcome. 

Further Information  Online Application Form


 

Measurement and Control Technician (m/f/d) for the Basic Technical Service Division

Job ID: 70812/26 | Department: D-T | Salary: as per collective bargaining agreement (EG9a TV-L) | Work Schedule: Full-time | Contract Term: 2 years with the option to extend | Start Date: as soon as possible

Further Information in German only  Online Application Form

Microtechnologist / Operator (m/f/d) for Cleanroom Shift Work

Job ID: 6082/26 | Department: Technology/Cleanroom | Salary: as per collective bargaining agreement (TV-L) | Work hours: 40 hours/week | Contract term: initially 2 years with the option to convert to a permanent position | Start date: immediately

Further Information in German only  Online Application Form

Plant Operator (m/f/d) for Cleanroom Shift Work

Job ID: 6081/26 | Department: Technology/Cleanroom | Salary: as per collective bargaining agreement (TV-L) | Work hours: 40 hours/week | Contract term: initially 2 years with the option to convert to a permanent position | Start date: immediately

Further Information in German only  Online Application Form
 

System administrator (m/f/d) for technical operations

Job ID: 7036/26 | Department: D-T | Salary: according to collective agreement (TV-L) | Working hours: full-time | Fixed-term contract: 2 years with option to extend | Start date: as soon as possible

Further Information in German only  Online Application Form

Service Technician (m/f/d) in Shiftwork

Job-ID: 6011/25 | Abteilung: Technologie | Gehalt: TV-L EG 6 bis 9, je nach Verantwortungsbereich; Vorerfahrung wird anerkannt | Arbeitszeit: 40h/Woche | unbefristet | Eintrittsdatum: zum nächstmöglichen Zeitpunkt

Further Information in German only  Online Application Form

Technical employee (m/f/d) in continuous alternating shift operation

Job-ID: 7011/25 | Department: Technology | Salary: according to collective labour agreement (TV-L) | Working hours: 40h/week | Fixed term: unlimited | Starting date: as soon as possible

Further Information in German only  Online Application Form

PhD position (m/f/d) for development of cryogenic open access models of CMOS-integrated memristive devices for prospective quantum computation 

Job-ID: 0094/26 | Department: Material Research | Salary: as per tariff (TV-L) | Working Time: 40h/week | Limitation: initially two years with option of extension | Starting Date: 01.12.2026 

The position:
As a PhD student and a member of the Adaptive Materials research group within the “Materials Research” department, you will contribute to the Development of cryogenic open access models of CMOS-integrated memristive devices for prospective quantum computation. Your responsibilities will include the cryogenic electrical characterization and modelling of RRAM based devices. You will join an international team of scientists, including highly experienced researchers and several PhD students, who are looking forward to welcoming you and working with you. We value diversity of perspective highly and are pleased to have a gender-balanced team.

Your project:
The project's ambition is to transfer knowledge into industry. A strong interaction with the project leader, the laboratory leaders and the partners of the project consortium is foreseen.

Your qualifications:
You hold a Master's degree in matter physics, semiconductor devices, materials science, microelectronics or a related field. You have previous experience in modelling and/or electrical characterization of HfO2 based RRAM devices. You are also experienced in data analysis. You have a background in semiconductor physics.
We need you to be a strong team player, able to effectively plan and execute your own work, and to work in an organized manner with other creative minds. You will be ideally suited for this position if you have experimental, analytical and problem-solving skills, very strong communication skills, the ability to quickly learn how to use the latest technical equipment including various software, and most importantly, if you are an independent thinker. 
As IHP is an international research center, it is necessary that you are fluent in English. German language skills are welcome. The improvement of German language skills is expected and strongly encouraged, e.g. through in-house language courses and intensive courses. 

Further Information  Online Application Form

Digital & Print Media Designer (m/f/d)

Job ID: 9086/26 | Department: Marketing & Communications (MaC) | Salary: per TV-L | Work Hours: 40 hours/week | Contract Term: 2 years with option to extend | Start Date: immediately

Further Information in German only  Online Application Form

Product Marketing and IP Transfer Manager (m/f/d)

Job ID: 9085/26 | Department: Marketing & Communications (MaC) | Salary: per TV-L | Work Hours: 40 hours/week | Contract Term: 2 years with option to extend | Start Date: immediately

Further Information in German only  Online Application Form