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PhD Scholarship Within High-throughput Chemical Data Analysis and Life Cycle Impact Assessment

Applicants are invited to apply for a PhD scholarship in mathematics at Technical University of Denmark. Potential candidates should apply before November 15, 2018.

DTU Management Engineering's Division for Quantitative Sustainability Assessment (QSA) covers research and development of scientifically based engineering methods for decision support for environmental and social sustainability. The research is thus positioned at the interface between natural sciences and engineering-based decision-support. A particular focus area is research and development of methods for quantifying the environmental impacts associated with anthropogenic activities and their use of technologies, products, and services.

The field of research is within high-throughput chemical data analysis and life cycle impact assessment.

You will contribute to research within the emerging field high-throughput exposure and computational toxicity characterization in which chemicals emitted along product or service life cycles are evaluated in terms of potential multi-pathway exposure and human and ecosystem effects, and how hazardous chemicals can be substituted by more sustainable alternatives.

Responsibilities and tasks

You will contribute to advancing the field of high-throughput exposure and computational toxicity characterization using advanced methods and tools for supervised machine learning, automated data curation trees, and mathematical modelling.

Using state-of-the-art concepts of semi-automated and automated data processing and curation, as well as high-throughput methods for exposure and toxicity modelling, your research will cover central aspects of chemical environmental fate, human and ecological exposure and related effects on human and ecosystem health and combine these aspects with advanced high-throughput computational methods and statistics.

The main goal is to develop a framework to consistently quantify exposure to and toxicity effects of chemicals based on high-quality data and efficient mathematical models for application in life cycle impact assessment, chemical substitution and related decision support.

You will also assist in one or more of our university courses, and you will likely co-supervise bachelor and/or master thesis projects.

You will become part of an energetic and dynamic research environment.

Qualifications

Candidates should have a master’s degree in environmental or chemical engineering or a similar degree with an academic level equivalent to the master’s degree in environmental or chemical engineering.


Summary:

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