The College of Engineering, Huazhong Agricultural University (HZAU) currently comprises the Departments of Agricultural Engineering, Mechanical Engineering, Mechatronic Engineering, and Optoelectronic Engineering.
The college currently offers 7 full-time undergraduate programs and holds a first-level doctoral degree authorization program and a postdoctoral research station in Agricultural Engineering. Adhering to the development philosophy of “Distinctive Features, Talents First, and Research Excellence,” the College of Engineering sincerely invites outstanding talents from around the world to join us for mutual growth and development.
Responsibilities: Lead the overall scheme design, technical feasibility analysis, and architecture construction of precision measurement and control systems and intelligent agricultural machinery equipment; responsible for the selection, evaluation, and customized design of key components, such as sensors, actuators, motion control cards, vision systems, industrial computers, etc.; responsible for the design (schematic diagrams, PCB layout), simulation, and debugging of system hardware circuits; responsible for the development, coding, and testing of core control software for the system, upper computer software (human-machine interface HMI), and data processing software; responsible for implementing core functions such as precision motion control (multi-axis linkage, trajectory planning), machine vision, data acquisition and processing, fault diagnosis, etc.
Requirements: More than 8 years of experience in the development and design of intelligent equipment systems. Proficient in mechanical design principles, analog/digital circuit design, with independent capabilities in structure, hardware schematic, and PCB design; familiar with embedded development on ARM Cortex-M/A series, DSP, or FPGA, as well as the principles and applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms, or state monitoring/data analysis algorithms.
Responsibilities: Lead the research, development, implementation, and optimization of core algorithms for image processing and computer vision based on deep learning and traditional algorithms; including but not limited to image recognition, detection, segmentation, generation, enhancement, 3D vision, etc., to solve practical industrial problems. Responsible for or collaborating with the team on the collection, processing, cleaning, annotation, and augmentation scheme design of massive images, videos, 3D point clouds, and other data; design and build deep learning models, conduct model training, evaluation, and iterative optimization; perform model lightweight design for specific agricultural scenarios to meet the efficiency and performance requirements for actual deployment.
Requirements: Proficient in Python/C++ programming, deep learning frameworks such as PyTorch and TensorFlow; solid mathematical knowledge, including linear algebra, matrix theory, probability theory, optimization theory, etc.; proficient in Linux development systems, master traditional image processing libraries such as OpenCV, with project experience in object detection, segmentation, tracking, 3D reconstruction, etc., and able to proficiently use at least one inference engine such as TensorRT, ONNX, or OpenVINO; familiar with at least one graphics API or 3D engine, with priority given to those with experience in shader writing and rendering optimization.
Responsibilities: Responsible for the application and research of human factors engineering principles in product design, workplace design, or system design. Through user research, experimental testing, and data analysis, evaluate and improve the usability, accessibility, safety, and user experience of design schemes to ensure the final product achieves the best match with humans.
Requirements: Solid theoretical foundation in human factors engineering, including but not limited to anthropometrics and biomechanics, cognitive psychology, perceptual psychology, etc.; familiar with at least one digital human modeling software, such as Siemens Jack, AnyBody, CATIA Human Builder, RAMSIS, etc.; familiar with CAD software for model viewing and spatial analysis; basic knowledge of interaction design or industrial design, with priority given to those with relevant experience using motion capture systems, EMG (electromyography) equipment, or other physiological data acquisition devices.
Responsibilities: Responsible for the independent design and optimization of IoT control platforms for livestock, poultry, and aquaculture facility-based breeding equipment and systems; based on digital twin and data transmission technologies, develop integrated and interactive control platforms suitable for different breeding modes, and build overall solutions and implementation paths for smart and unmanned control systems oriented toward facility-based breeding of livestock, poultry, and aquaculture.
Requirements: More than 8 years of experience in IoT system design and implementation, familiar with the design, modeling, and optimization of IoT control platforms, master digital twins, data transmission, big data analysis, and artificial intelligence algorithm applications; innovative thinking for building multi-modal data transmission and display in complex breeding scenarios; capable of interdisciplinary communication and collaboration in facility-based breeding of livestock, poultry, and aquaculture and related fields, with priority given to those with implementation cases or solutions for IoT control platforms that have significant industry influence, and those with experience in developing and managing industrial-grade or sector-specific large-scale IoT platforms.
Responsibilities: Responsible for the R&D of agricultural intelligent sensing technology, robotics technology, and related artificial intelligence algorithms, explore the application of multi-sensor fusion technology in agricultural scenarios, improve the perception accuracy and reliability of information on agricultural products such as eggs and poultry, and promote the application and promotion of agricultural intelligent sensing and robotics technology in actual agricultural production.
Requirements: More than 8 years of experience in agricultural intelligent sensing, robotics technology research and development, or related fields, familiar with sensor data acquisition, processing, and analysis methods, with capabilities in sensor design, fabrication, and deployment; familiar with robotics kinematics and dynamics principles, master key technologies such as robot mechanical structure design, control system development, path planning, and navigation algorithms; capable of interdisciplinary communication and collaboration in the field of intelligent agricultural product detection and related areas, with priority given to those with implementation cases or solutions for agricultural sensors or agricultural robots that have significant industry influence.
Responsibilities: Lead the structural design of orchard equipment, precision system development, and intelligent manufacturing; responsible for robot dynamics modeling and vibration reduction system construction; responsible for structural optimization and vibration analysis of precision components in high-precision orchard equipment; undertake the development of key modules for precision equipment software, algorithms, and systems, and build an intelligent manufacturing platform for orchard equipment.
Requirements: More than 5 years of experience in mechanical dynamics and precision manufacturing related fields; proficient in Pro/E, Solidworks, AutoCAD, etc., with experience in mechanical structure design, automation equipment design and development; master key technologies such as electromechanical system dynamics and design, precision vibration reduction design, vibration measurement and control; familiar with C/C++ programming language, familiar with Linux or RTOS, understand the basic principles of their operating systems, with priority given to those with driver development or application development experience; priority given to those who are developers of precision equipment systems or intelligent manufacturing platforms with significant industry influence.
Responsibilities: Responsible for the research and development of new technologies and equipment for biochemical/thermochemical/chemical conversion of agricultural biomass or carbon capture and utilization, explore new technologies and pathways for converting agricultural biomass into high-value energy (such as green methanol, H2, etc.), high-value or green degradable materials (such as special nanomaterials, green mulch films, etc.), develop corresponding new types of efficient low-energy consumption equipment, significantly improve conversion efficiency and reduce conversion costs, and promote the application of agricultural biomass high-value conversion technology in actual agricultural production.
Requirements: Background in thermal energy engineering, energy power, or related or similar majors during bachelor’s, master’s, and doctoral studies; more than 4 years of research and development experience in agricultural biomass biochemical/thermochemical/chemical conversion or carbon capture and utilization technologies, with capabilities in developing biomass conversion and carbon capture and utilization equipment, proficient in the application of simulation software such as Aspen Plus, CFD, DFT; priority given to those with mid-trial and promotion operation experience in high-value utilization of agricultural biomass; priority given to those who can proficiently use AI tools such as deep learning for technology development or material-assisted screening.
(1) Career Development: Successful candidates will be appointed as professors or researchers and included in the university’s talent support system.
(2) Compensation: Competitive salary packages, sufficient research funding, postgraduate enrollment quotas, and excellent working conditions will be provided. Team-based applicants will receive startup funds and resource support. Named professorships may be applied for, with additional allowances from the university’s alumni foundation.
(3) Research Support: Supporting laboratories will be provided, and candidates may join research teams according to their specialization to refine research directions and share team resources. They are eligible to apply for independent research projects at the university, college, or key laboratory level, and will be given priority in participating in overseas study and exchange programs.
Qualified candidates are requested to submit the following materials by email to feiwu0613@mail.hzau.edu.cn:
CV, degree certificates, professional title certificates, proof of employment, and evidence of major achievements.
Contact: Wu Fei
Tel: +86-27-87285113
Email: feiwu0613@mail.hzau.edu.cn
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