Archaeological Remote Sensing Specialist – MAPHSA South American Heritage Mapping

Laplace Expert Ltd; Delft; Remote; EUR 55,000 - 75,000; Part time

Job summary

Archaeological Remote Sensing Specialist – MAPHSA South American Heritage Mapping is based at Delft University of Technology, Geoscience and Remote Sensing, Delft, NL.

You will lead machine-learning and LiDAR interpretation efforts on pre-Columbian heritage, coordinate partners, supervise students, and prepare publications in an international project setting.

The role is part-time (28–32 hours/week) with monthly funding of EUR 4,925–6,682, and requires fluency in Spanish and English.

Qualifications

• PhD in Archaeology with pre-Columbian focus.
• Experience in machine learning applied to LiDAR and remote sensing.
• Ability to coordinate projects and supervise researchers.
• Fluency in Spanish and English.

Responsibilities

• Lead TU Delft work on identifying traces of pre-Columbian heritage in South American datasets.
• Develop ML approaches using LiDAR and spectral data.
• Supervise student researchers and coordinate project partners.
• Prepare publications resulting from the project.

Skills

Machine learning

LiDAR interpretation

Spectral remote sensing

Large datasets

Project coordination

Grant acquisition

Education

PhD in Archaeology

Tools

Python

Job description

Archaeological Remote Sensing Specialist – MAPHSA South American Heritage Mapping

Delft University of Technology · Geoscience and Remote Sensing

Netherlands

Apply by 11 Nov 2026

About This Opportunity

Delft University of Technology advertises Archaeological Remote Sensing Specialist – MAPHSA South American Heritage Mapping, an academic opportunity focusing on Machine learning and LiDAR interpretation of pre-Columbian archaeological heritage in Delft.

Within the Arcadia-funded MAPHSA project, the specialist will lead TU Delft work on identifying sparse, hidden traces of pre-Columbian heritage in large South American remote-sensing datasets. Activities include developing machine-learning approaches, using LiDAR and spectral remote-sensing observations, supervising student researchers, coordinating project partners and preparing publications. The position sits in Geoscience and Remote Sensing and works with Dr Roderik Lindenbergh.

Who This Opportunity Is Best Suited For:Candidates whose professional or academic interests connect closely to Machine learning and LiDAR interpretation of pre-Columbian archaeological heritage are the principal thematic audience. Relevant qualifications and documented teaching, research or leadership experience must be assessed against the official recruitment criteria rather than inferred from the title. Documented qualifications and preparation include: PhD in Archaeology and expertise in pre-Columbian archaeology; applied machine learning, LiDAR, spectral remote sensing, large datasets, project coordination, supervision and grant acquisition. Fluency in Spanish and English is explicitly required.

Potential Challenges / Who May Find It Less Suitable:Material practical considerations include 28–32 hours per week, the explicitly required languages (Spanish, English), the currently unresolved final official application endpoint.

Overall Opportunity Assessment:This opportunity is distinguished by its focus on Machine learning and LiDAR interpretation of pre-Columbian archaeological heritage. Its documented methods and collaborations provide a concrete basis for assessing methodological fit; application and financial details should be confirmed against the institution’s vacancy or programme instructions.

Machine learning and LiDAR interpretation of pre-Columbian archaeological heritage Archaeology

Level Researcher

Time Commitment Part-time

Field Machine learning and LiDAR interpretation of pre-Columbian archaeological heritage

Specialization Archaeology

Organization Type University

Funding & Compensation

Amount EUR 4,925-6,682 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

PhD in Archaeology and expertise in pre-Columbian archaeology; applied machine learning, LiDAR, spectral remote sensing, large datasets, project coordination, supervision and grant acquisition.

Experience

Technical Skills Machine learning LiDAR Spectral remote sensing Large-scale remote sensing data processing Project coordination