<div dir="ltr">We are seeking a postdoctoral fellow with expertise in multimodal foundation models and neural rendering. The ideal candidate will hold a PhD in Computer Science, Electrical Engineering, or a related field and possess a strong foundation in computer vision and deep learning. Essential qualifications include first-author publications in top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS, along with excellent coding, analytical, and communication skills.<br><br>Candidates with experience in neural rendering techniques (e.g., NeRF, Gaussian Splatting), 3D computer vision, and AR/VR/XR environments will be highly preferred.<br><br>Please submit your CV, representative publications, and letters of recommendation to Prof. Laszlo Jeni at <a href="mailto:laszlojeni@cmu.edu">laszlojeni@cmu.edu</a> for consideration.<br><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div style="font-family:"courier new",monospace">+------------------------------------------</div><div style="font-family:"courier new",monospace">| Laszlo A. Jeni, PhD</div><div style="font-family:"courier new",monospace">| Assistant Research Professor</div><div style="font-family:"courier new",monospace">| Robotics Institute</div><div style="font-family:"courier new",monospace">| Carnegie Mellon University</div><div style="font-family:"courier new",monospace">| Web: <a href="http://www.laszlojeni.com/" target="_blank">http://www.laszlojeni.com</a></div><div style="font-family:"courier new",monospace">| Email: <a href="mailto:laszlojeni@cmu.edu" target="_blank">laszlojeni@cmu.edu</a></div><div style="font-family:"courier new",monospace">| Tel: (+1) 412-268-4461</div><div style="font-family:"courier new",monospace">+------------------------------------------</div></div></div></div></div>