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Master Thesis: Design of a Low Noise Amplifier for Neuromorphic Sensor Frontends - Job Opportunity at Fraunhofer Institute for Electronic Microsystems and Solid State Technologies (EMFT)

Munich, Germany
Part-time
Entry-level
Posted: January 23, 2025
On-site
EUR 25,000-30,000 per year (typical German master thesis compensation at research institutes)

Benefits

Research publication opportunities
International research environment exposure
Access to cutting-edge semiconductor facilities
Academic development support
Flexible working hours
Professional networking opportunities

Key Responsibilities

Conduct comprehensive literature review on LNAs and MEMS microphones
Design and implement innovative LNA with programmable gain settings
Optimize power consumption for sub-µW range performance
Document and present research findings
Collaborate with international research team

Requirements

Education

Current enrollment in Electrical Engineering or similar field

Experience

First experience with Cadence Virtuoso ADE

Required Skills

Good knowledge of integrated analog circuits Ability to work independently Good analytical and structured working style Ability to coordinate with an international team Good German or English language skills
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Sauge AI Market Intelligence

Industry Trends

The neuromorphic computing sector is experiencing rapid growth with a CAGR of over 20%, driven by edge AI applications and IoT integration Low-power analog frontend design is becoming increasingly critical as edge computing demands rise MEMS microphone integration with neuromorphic systems represents a growing niche in the semiconductor industry

Role Significance

Likely part of a specialized research group of 5-10 members within the larger microsystems department
Research-focused position with significant technical autonomy despite entry-level classification

Key Projects

Development of ultra-low-power analog frontends for neuromorphic sensors Integration of MEMS microphone systems with spiking neural networks Power optimization for edge AI applications

Success Factors

Deep understanding of analog circuit design principles and noise optimization techniques Ability to balance theoretical research with practical implementation constraints Strong documentation and scientific communication skills Innovative problem-solving approach for ultra-low-power design challenges

Market Demand

High demand for specialized analog design expertise in neuromorphic computing, with particular emphasis on ultra-low-power implementations

Important Skills

Critical Skills

Analog circuit design expertise for ultra-low-power applications Experience with industry-standard EDA tools Understanding of noise analysis and optimization techniques

Beneficial Skills

Knowledge of neuromorphic computing principles MEMS technology understanding Scientific writing capabilities Project management skills

Unique Aspects

Focus on cutting-edge neuromorphic computing applications
Access to advanced semiconductor fabrication facilities
Integration of analog design with artificial intelligence applications
Ultra-low-power constraints pushing technological boundaries

Career Growth

6-12 months for thesis completion, with potential for continued research or industry transition

Potential Next Roles

PhD Researcher in Microelectronics Analog IC Design Engineer Research Scientist in Neuromorphic Computing Senior IC Design Engineer

Company Overview

Fraunhofer Institute for Electronic Microsystems and Solid State Technologies (EMFT)

Fraunhofer EMFT is a leading research institution in microsystems and solid-state technologies, with approximately 180 employees across three locations

Among Europe's top applied research organizations in microelectronics and microsystems technology
Strong presence in Germany's research landscape with significant international collaborations
Research-oriented environment fostering innovation and interdisciplinary collaboration
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