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慕尼黑工业大学招收博士研究生，从事微流控生物芯片自动设计方法研究。Ho教授是生物芯片自动设计领域的国际知名学者，为人也很nice。感兴趣的同学也可以与我联系，谢谢！
有兴趣的同学，请把简历发到直接发给Ho教授（tyho@cs.nctu.edu.tw）。
项目具体介绍如下（见附件）：
Prof. Tsung-Yi Ho who is now a TUM-IAS Hans Fischer fellow in collaboration with Prof. Ulf Schlichtmann, the Chair of Electronic Design Automation (EDA), Technische Universitat Munchen, is seeking for a
Research Assistant/wissenschaftliche/r Mitarbeiter/in with opportunity for dissertation
Advances in microfluidic technologies have led to the emergence of biochip devices for automating laboratory procedures in biochemistry and molecular biology. These devices enable the precise control of nanoliter-scale biochemical samples and reagents. Therefore, integrated circuit (IC) technology can be used to transport and transport “chemical payload” in the form of micro/nanofluidic carriers such as droplets. As a result, non-traditional biomedical applications and markets (e.g., high-throughout DNA sequencing, portable and point-of-care clinical diagnostics, protein crystallization for drug discovery), and fundamentally new uses are opening up for ICs and systems.
Frost & Sullivan recently predicted a 13.5% Compound Annual Growth Rate for the US biochip (“lab-on-chip”) market during 2008-2015, and the market size for lab-on-chip alone (not including microarrays, biosensors, and microreactors) is expected to be over $1.6 billion in 2015. Similar growth is anticipated in other parts of the world, especially Europe and Japan. On a broader scale, the annual US market alone for in vitro diagnostics is as high as $10 billion and similar figures have been estimated for the drug discovery market. For clinical diagnostics, it has been predicted that we will soon see 15 billion diagnostic tests/year worldwide.
However, continued growth (and larger revenues resulting from technology adoption by pharmaceutical and healthcare companies) depends on advances in chip integration and design-automation tools. In particular, design-automation tools are needed to ensure that biochips are as versatile as the macro-labs that they are intended to replace. This is therefore an opportune time for the semiconductor industry and circuit/system designers to make an impact in this emerging field.
For this project, we are seeking motivated and talented young researchers with strong disciplinary background in algorithm and optimization theory. Good knowledge in graph theory, embedded system, machine learning as well as advanced programming skills (C/C++, Matlab etc.) are an asset.
The position is paid according to TUM-IAS rules (0.75% TV-L E13). Requirements are a successful degree (master/ diploma/doctoral/PhD) with exceptional records.
Please send your application including your complete CV, grades, relevant certificates, and some of your publications in a single pdf file by email to
tyho@cs.nctu.edu.tw with the keyword “Pos_MDA_IAS”.
TUM is especially encouraging minorities and women to apply, because of its strong commitment to diversity in engineering education, research, and practice.
We are looking forward to hearing from you.
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