# Opening for Ph.D., Postdoc, Visiting Scholar, and Research Engineer
Su Lab is actively hiring high-quality researchers at all levels (Ph.D., Postdoc, Visiting Scholars, and Research Engineer) in 2023-2024 academic year. Upon admission, applicants will have the chance to work with strong Ph.D./postdoc/graduate researchers on cutting-edge research problems, publish influential papers, and build impactful systems.
## Directions
We are looking for applicants with excellent backgrounds in all areas that the lab has prior publications (see https://cseweb.ucsd.edu/~haosu/index.html#_pub). With a higher priority, we are looking for applicants with strong backgrounds in the following areas (no particular order):
- **Robot design**.
Expertise in one or more of the following areas are preferred:
- Mechanical design
- Electrical and electronic design
- Software development
- **Robot learning**.
Expertise in one or more of the following areas are preferred:
- Reinforcement learning for manipulation/locomotion
- Imitation learning for manipulation/locomotion
- Sim2real transfer
- **3D AIGC**
Expertise in one or more of the following areas are preferred:
- Neural rendering
- Generative models
- Computational geometry
- **Physical simulation**
Expertise in one or more of the following areas are preferred:
- Rigid-body/soft-body simulation
- Differentiable simulation
- Contact modeling
- Material modeling
- **Research Engineer**
Expertise in one or more of the following areas are preferred:
- CUDA programming
- Numerical system optimization
- Game development
- 3D modeling
## Requirement
Applicants should have an excellent prior record at the corresponding stage (publications, prestigious awards, high-ranking in competitions/GPA, high-star repos, ...). Strong recommendation letters will increase the chance.
## How to apply
Please directly email Prof. Su (address can be found on https://cseweb.ucsd.edu/~haosu/) with **[Application]** included in the subject. Please include the following information in the email:
1. CV (PDF format)
2. Research statement
3. Your availability (start date, during, ...)
4. Reference letter(s) (optional)
5. (Optional) Links to your Github, Google Scholar, personal website, ...
6. Funding source (if any)