Tenured Associate Professor Position in Control of Distributed Parameter Systems, Complex Networks, and AI-Enhanced Computational Mathematics
Institute of Computational Mechanics x AI (CMxAI)
Fudan University, Shanghai, China
About Us
The Institute of Computational Mechanics & Artificial Intelligence (CMxAI) at Fudan University is an interdisciplinary research hub dedicated to merging advanced computational mechanics, applied mathematics, and artificial intelligence to tackle fundamental challenges in science and engineering.
Our mission is to establish top-tier research teams in high-performance simulation, AI-driven scientific discovery, multi-physics modeling, and computational foundations for next-generation engineering technologies.
As CMxAI expands, we are seeking exceptional scholars with strong mathematical foundations whose research naturally interfaces with computational mechanics, intelligent simulation, and AI-enabled scientific computing.
Job Description
We invite applications from candidates whose work strengthens the mathematical underpinnings of CMxAI’s scientific and engineering mission, especially in areas that bridge:
l Distributed parameter systems / PDE-based dynamics relevant to mechanics, materials, and physical systems
l Nonlinear and networked PDE control with potential applications to engineered or cyber-physical systems
l Numerical methods and large-scale computation supporting multi-physics simulation
l Model- and data-driven integration for intelligent computational engineering
l Scientific machine learning for dynamical systems, PDEs, and physics-informed computation
We particularly welcome applicants who can contribute mathematically rigorous insights while engaging deeply with computational science and engineering challenges.
Key Research Themes on this Position
1. Mathematical Foundations for Computational Mechanics
l Analysis and control of PDEs arising in mechanics, waves, fluids, materials
l Boundary/interface dynamics, nonlinear coupling, high-order operators
l Rigorous frameworks supporting multi-physics simulation and design
2. Networked and Complex-System Dynamics
l Control/optimization on graph-structured or interconnected mechanical systems
l Multi-agent or cyber-physical systems governed by PDE/ODE-PDE models
l Methods enabling robust, scalable simulation of networked dynamics
3. Numerical Analysis & High-Performance Scientific Computing
l Algorithms for coupled hyperbolic and multi-physics systems
l Randomized, multilevel, domain-decomposition, or graph-based solvers
l Scalable computation leveraging GPUs and modern HPC architectures
l Numerics aligned with real engineering applications supported by CMxAI
4. Scientific Machine Learning for Mechanics and Physical Modeling
l Operator learning (FNO, DeepONet, GNO) for computational mechanics
l Physics-informed neural networks and hybrid model–data frameworks
l AI-enhanced optimal control, inverse modeling, and complex-system prediction
l Methods linking mathematical theory with implementable engineering tools
5. Industry-Driven Mathematical Modeling & Control
l Intelligent manufacturing, structural monitoring, robotics, and mechatronics
l Industrial processes governed by PDE-based models
l Collaborative projects with industrial partners leveraging mathematical rigor
Qualifications
l PhD in Applied Mathematics, Computational Science, Mechanics, or a closely related field
l Strong record of research excellence with high-impact publications
l Proven experience in a regular research or faculty position at a world-class university or leading research institute, or selection into competitive international talent programs.
l Evidence of potential (or demonstrated ability) to secure competitive funding
l Commitment to high-quality teaching and mentoring
l Ability to collaborate in an interdisciplinary environment involving mathematics, mechanics, and AI
What We Offer
l Competitive international salary, comprehensive benefits, and long-term career pathways
l Substantial start-up research package and access to advanced computing infrastructure
l A collaborative ecosystem spanning computational mechanics, AI, applied mathematics, and engineering
l Housing support, relocation allowance, and access to Fudan-affiliated education for children
l Support for applications to national and municipal talent programs
Application Procedure
Please submit a single PDF including:
1. Cover letter
2. Curriculum vitae with publication list
3. List of third-party fundings
4. Research statement with future plan
5. Teaching statement
6. Certificate of Doctoral degree and diploma
7. Contact information for three referees
8. 4-6 letters of recommendation (CMxAI should receive at least two from collaborators or doctoral advisor/post-doctoral mentor and at least two others from independent referees)
Email to: cmxai@fudan.edu.cn
Applications will be reviewed on a rolling basis until the position is filled.
Why Join CMxAI?
l Work at a leading global university with strong traditions in mathematics and computational science
l Contribute to a rapidly growing institute shaping the future of AI-enhanced computational mechanics
l Conduct fundamental mathematical research with real pathways toward scientific and engineering impact
l Lead large-scale interdisciplinary projects and collaborate with world-class researchers
l Build a research group supported by robust institutional and national resources
