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KAUST GLOBAL FELLOWSHIP FOR POSTDOCS

Application Period for Stage 2: 15 November – 15 Januarym 2027

LOCATION: Saudi Arabia

The KAUST Global Fellowship Program attracts and supports outstanding emerging research leaders from around the world, empowering them to build a path towards a fully independent career. The program inspires the next generation of scientists and engineers to address global challenges and create opportunities that benefit humanity.

ELIGIBILITY:

This merit-based program targets excellent postdoctoral researchers with breakthrough ideas that can complement, support, and advance the major research priorities of KAUST.

Applicant’s Eligibility:

For an applicant to be eligible for this Fellowship:

Must have been awarded a Ph.D. degree, within four calendar years – those applying for CALL 2027, must have received their Ph.D. after January 2023 inclusive;

Must expect to complete their Ph.D. before the start of their Fellowship, if Ph.D. is now awarded yet;

Must be ready to move to KAUST to undertake their proposed three-year research project;

Must identify in the application at least one (up to three) potential KAUST faculty members whose research aligns with the proposed work.

People of all nationalities are welcome to apply. They encourage female applications to promote a better gender balance in science and engineering.

Candidates must satisfy all Kingdom of Saudi Arabia requirements to obtain resident status.

Applications are shared with the named faculty for review; only faculty-supported applications advance to the full proposal stage. If you’ve already secured a host, are affiliated with KAUST, or are joining KAUST, name only that one faculty.

Proposal Eligibility:

To be eligible for this Fellowship, the proposal should:

Focus on one or more of the KAUST research missions: Water, Food, Health, Energy, Artificial Intelligence (AI), and the Red Sea;

Have an outline for a three-year duration;

Follow the budget and financial guidelines of the call;

Use the provided Call 2027 templates for the Concept Note and the Full Research Proposal (by invitation only)

Align with the programs of the KAUST academic divisions: 

Biological and Environmental Science and Engineering (BESE)

Biomedical Sciences Division (BioMed)

Computer, Electrical, and Mathematical Science and Engineering (CEMSE)

Physical Science and Engineering (PSE)

Two-Stage Application Process – Deadlines

Stage 1 (concept note)

Accepting applications:

1 September – 1 October

Stage 2 (Full Proposal, By Invitation)

Accepting applications:

15 November – 15 January

BENEFIT:

The fellowship offers one of the most competitive funding packages available for early-career researchers.

Successful fellows will receive:

US$75,000 annual living stipend

Up to US$40,000 in dedicated research funding for their project

Three years of fully funded support

Comprehensive medical insurance

On-campus accommodation

Schooling support for up to three children

Relocation allowance

Annual travel assistance

Access to world-class laboratories and research infrastructure

Fellows also benefit from professional development opportunities, including leadership training, mentoring programmes, teaching certificates, and networking with international academic and industry partners.

APPLY

MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS (MPI‑IS) PHD POSITION (F/M/DIV) | COMPUTER VISION

Application Deadline: Applications accepted all year round

LOCATION: Germany

The Optics & Sensing Laboratory (OSLab) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze: Large-Space Gaze Analysis via Multi-camera System for Social Interactions” to develop datasets and algorithms to capture and analyze eye gaze.

ELIGIBILITY:

They are looking for a doctoral researcher to work and develop algorithms and multi-camera capturing systems for eye movements such as gaze, mutual gaze, and blinks. The doctoral researcher will be co-supervised by Prof. Xucong Zhang, Delft University of Technology and Dr. Senya Polikovsky, MPI‑IS. This project is funded by the DFG SPP Programme Understanding Gaze (ugaze SPP 2481) and the applicant will be part of the School of SPP Programme as well as the International Max Planck Research School for Intelligent Systems (IMPRS‑IS). The doctoral researcher is expected to work on-site in Delft with Prof. Xucong Zhang for a given time period. They are expected to have strong skills in software design and development as well as experience in computer vision and machine learning.

Your tasks will be to:

Develop and enhance capture systems, which include creating the hardware system and study design.

Data collection using the developed capture systems

Develop cutting-edge gaze estimation and blink detection algorithms based on multiple systems in collaboration with TU Delft.

Collaborate with researchers in the field of psychology to adapt and improve the systems for specific case studies.

Education & Experience

MSc degree and strong academic background in the field of computer vision and machine learning

Strong programming skills, including but not limited to Python, OpenCV, PyTorch, Unreal Engine, and C++

Good oral and written communication skills in English

A natural team player and detail-oriented person

Some academic background or general interest in psychology would be a plus

BENEFIT:

Funded PhD Project (Students Worldwide)

The offer:

Working in a multidisciplinary collaborative project at MPI for Intelligent Systems (Tübingen)

Cutting-edge technologies related to computer vision and multi-sensor systems

An open-minded and motivating working environment with international scientists, engineers, and administrative staff

They provide a subsidy for the Deutschland-Jobticket (ÖPNV).

Their connection to a day care center and the possibility of mobile working help you to reconcile family and career.

The position is for 3 years with the possibility to extend if the scientific progress and funding permit it. The position is available as of now.

APPLY