USA Purdue University - Digital Twin Lab Postdoc and PhD Scholarship 2026

Available Programs and Research Areas

The scholarship offers fully funded positions for PhD students and postdoctoral fellows with research spanning four transformative domains Foundation models for autonomous driving where multimodal systems such as large language models vision language models and vision language action models are applied to perception planning prediction and control Human autonomy teaming where machine learning is integrated with personalized data to enable human centered AI applications Automated vehicle validation through pilot deployments using V2X communications cloud computing and edge computing Digital twins for autonomous and connected systems focusing on world models scene reconstruction uncertainty aware prediction and sim to real transfer

Supervisor and Lab Leadership

The program is led by Dr Ziran Wang Assistant Professor in the Lyles School of Civil and Construction Engineering and the Elmore Family School of Electrical and Computer Engineering Dr Wang brings unmatched expertise from his experience as a Principal Researcher at Toyota R&D in Silicon Valley and currently serves as Assistant Director of Purdue ICON Founding Chair of the IEEE Technical Committee on Internet of Things in Intelligent Transportation Systems and Associate Editor for several top IEEE journals With more than 80 peer reviewed publications and over 50 patents his leadership ensures that scholars in the Digital Twin Lab are mentored at the cutting edge of innovation

Scholarship Benefits

Successful applicants will be fully funded enjoying tuition coverage stipends and comprehensive research support Beyond funding participants gain access to state of the art facilities collaborations with global industry leaders including Waymo Zoox Toyota and Bosch and unmatched career development support through journal publications conference presentations and professional networking opportunities Purdue University offers not only academic excellence but also a collaborative environment that connects academia industry and technology at the highest levels

Eligibility Requirements

Applicants should hold advanced degrees in engineering disciplines such as Electrical and Computer Engineering Mechanical Engineering Civil Engineering or Computer Science A strong track record of research with publications in leading machine learning computer vision robotics or transportation venues is highly valued Candidates must demonstrate technical excellence creativity and clear potential for innovation Priority will be given to applicants with proven scholarly achievements and alignment with the lab’s core research themes

Final Thoughts

The Purdue University Digital Twin Lab is more than a research environment it is a launchpad for the future of autonomous driving intelligent systems and digital twin technologies If you are ready to contribute to world class innovation and work alongside global leaders this fully funded PhD and postdoctoral opportunity is your gateway to making a lasting impact

Application Information

Interested candidates are encouraged to prepare a complete academic portfolio including curriculum vitae transcripts statement of research interests and evidence of prior scholarly contributions Applications should be directed to the Purdue Digital Twin Lab under the supervision of Dr Ziran Wang with further details available through the university’s graduate admissions channels and lab communications