苏黎世联邦理工大学、鲁汶大学最新岗位制博士项目分享

本期为大家推荐苏黎世联邦理工大学、鲁汶大学最新2024岗位制博士项目信息。

苏黎世联邦理工大学  

PhD position: Development of catalysts to convert CO2 into alcohols

The Laboratory of Energy Science and Engineering

Field：Materials Chemistry, Catalysis

APPLICATION DEADLINE: 招满即止 

About the project

The Laboratory of Energy Science and Engineering(LESE, ETH Zürich) is looking for a candidate to fill a PhD position to develop catalysts for the conversion ofCO2 into alcohols. At LESE, we aim to advance materials and processes to address the important challenge of producing fuels, electricity, and chemicals in efficient and sustainable ways.An important line of research focuses on the development of materials to close the CO2 cycle and ultimately allow societies to approach net zero emissions. The current PhD position is funded by the Swiss National Science Foundation (SNSF) and is a collaboration between LESE and groups from the Chemistry department of ETH Zürich (Prof. Christophe Copéret group), University of Zurich (Dr. Iannuzzi group) and the Paul Scherrer Institute (Dr. Safonova group).

Job description

Specifically, this project, by combining high throughput experimentation, synthesis of model catalysts, operando characterization, and molecular modelling aims at identifying novel catalyst families and developing structure-performance relationships for catalysts for the hydrogenation of CO2 to higher alcohols (such as ethanol). The role of this specific PhD position will be the development of model catalysts and their operando characterization using X-ray absorption spectroscopy, X-ray total scattering, and infrared spectroscopy to identify the catalytically active sites/motifs.

Your profile

You are expected to have:

• An excellent MSc degree in Chemical Engineering, Material Science, or Chemistry
• Knowledge in material synthesis and/or material structural characterization is highly valued

We are looking for highly motivated, committed, and creative individuals, able to work in a team and with outstanding communication skills. Working in a top-level research environment with advanced laboratory infrastructure, youwill have a unique opportunity to develop your research abilities. The position is available from May 2024 onwards.

With thesocial and leadership competencies, ETH Zurich has developed a common understanding of a shared work culture.

We offer

• An exciting working environment
• Opportunities to learn cutting edge techniques
• Perspectives for career development
• A diverse and interdisciplinary team

Curious? So are we.

We look forward to receiving your online application with the following documents:

• CV
• Motivation letter
• Transcripts

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about LESE can be found on ourwebsite. Questions regarding these positions should be directed to Prof. Christoph Müllermuelchri@ethz.chor Dr. Paula Abdala:abdalap@ethz.ch. 

鲁汶大学  

PhD Research on Multi-Channel Acoustic Sensing for Autonomous Vehicles

Field:Computer Engineering,Electrical Engineering,

APPLICATION DEADLINE: 20 June, 2024 

About the Project

The research group EAVISE is a multidisciplinary research group, based on Campus De Nayer Sint-Katelijne-Waver and belongs to the research divisions PSI (Processing of Speech and Images) of the Electrical Engineering Department (ESAT) and DTAI (Declarative Languages and Artificial Intelligence) of the Computer Science Department. The EAVISE group conducts research in demand-driven applications of state-of-the-art algorithms for artificial intelligence, computer vision, and machine listening in industry-specific applications. To meet stringent requirements on execution speed, energy footprint, cost and price requirements, the developed algorithms are often implemented and optimized on embedded systems. Application domains include industrial automation, product inspection, traffic monitoring, e-health, agriculture, eye-tracking, microscopic image processing, camera surveillance, and cinematography. The EAVISE research group can build upon a solid research infrastructure, an extensive international network, connections with companies and non-profit organizations, and a supportive work environment.

Project

A PhD research position is available at the KU Leuven, Electrical EngineeringDepartment(ESAT), division Processing of Speech and Images (PSI), within the research group EAVISE on the design of acoustic sensing algorithms for autonomous vehicles.

In scene understanding for autonomous vehicles, a representation of the traffic scene is produced using a multi-modal combination of various sensors. Currently, this is largely based on line-of-sight (LoS) sensing using cameras, RADAR, and LiDAR. In addition to these modalities, the use of audible sound has the potential to further extend and enhance the robustness of scene understanding for the following reasons: Firstly, sound bears rich information on the traffic scene (propulsion noise of other vehicles, active vehicle alert systems, tire noise, emergency sirens, …) and secondly, its propagation is not limited to the LoS. Until now, however, the scientific literature on acoustic sensing in autonomous driving is still limited and commercial solutions do not yet exist. The objective of this research project therefore is to develop multi-channel acoustic sensing algorithms for autonomous driving that can track characteristics of other vehicles such as their location under challenging acoustic conditions involving ego-noise and the Doppler effect. Further, fusion with LoS sensing will be explored.

The research will be carried out in an international team at EAVISE. The standard duration of a PhD research project at KU Leuven is 4 years.

Profile

• Candidates must hold a Master’s degree in electrical or computer engineering (or equivalent), have a solid mathematical background (e.g. in matrix algebra), and have taken specialized courses in some of the following disciplines: digital signal processing, audio signal processing, machine learning, and/or machine listening.
• Research experience (e.g. through Master thesis work or research internships) in audio signal processing or machine learning is considered a strong asset.
• Programming experience in Python or MATLAB is required, and experience with other programming languages (C/C++...) is considered beneficial.
• Excellent proficiency in the English language is required, as well as good communication skills, both oral and written.

RESPONSIBILITIES

The PhD researcher will：

• Carry out research on the design ofacoustic sensing algorithms for autonomous vehicles;
• Monitor the work plan of the research project and make sure that milestones are achieved and deliverables are finalized in a timely manner;
• Actively participate in internal research and project meetings;
• Assist in the supervision of Master thesis students;
• Perform a limited amount of teaching activities (max. 2 hours per week).
• Enroll in a doctoral training program at the Arenberg Doctoral School, and adhere to the doctoral school’s coursework requirements for PhD researchers.

Offer

• A high-level and exciting international research environment.
• A PhD title from one of Europe's top universities (after approximately 4 years of successful research).
• A thorough scientific education in the frame of a doctoral training program.
• A competitive salary or tax-free PhD grant.
• The possibility to participate in local as well as international courses, workshops and conferences.
• A one-year position with the possibility of extension for a second, third, and fourth year.

Interested? For more information please contact Prof. dr. Thomas Dietzen, tel.: +32 16 37 67 47, mail: thomas.dietzen@kuleuven.be.  

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