Lecturer in Digital Chemistry

Vacancy Reference Number

13123

Organisation:

University of York

Closing Date

27 Mar 2024

Salary

£44,263 - £54,395 per year (reduced pro rata for part time working)

Address

Department of Chemistry University of York YORK YO10 5DD

Duration

Permanent

Applications are invited for a lectureship in Digital Chemistry in the Department of Chemistry at the University of York. We are interested in receiving applications from Mass Spectrometrists who work in the field of Data Science, e.g. Machine Learning, Artificial Intelligence, Infomatics.

We seek to appoint a Lecturer (Research and Teaching) in Digital Chemistry. Digital approaches are revolutionising the way in which chemistry is undertaken, whether in the laboratory, field or theoretically.  Given the growing scientific importance of machine learning, big data, and artificial intelligence, we seek to appoint a lecturer to grow our activities in this field.  We are searching for an individual who has a background in chemistry, but also has cutting-edge research expertise in digital approaches applied to chemical research problems.  Areas could include the application of machine learning or artificial intelligence to mass spectrometry and its allied sciences.  We seek excellent communicators who have the potential to develop collaborations across the chemical sciences.

The Department of Chemistry is one of the largest and most successful departments at York, renowned internationally for our research.  We strive to conduct research at the cutting edge of the chemical sciences and therefore seek to appoint an individual with a proven research interest in applying machine learning / big data methods to chemical problems. 

As a department, we strive to provide a working environment that allows all staff and students to contribute fully, to flourish, and to excel, and are proud of our Athena SWAN Gold Award. We particularly welcome and encourage applications from female candidates, and candidates from minority ethnic backgrounds, who are under-represented within the Chemistry academic staff group.

Appplicants should have a strong background in chemistry but be advancing machine learning,  big data, artificial intelligence methods in their research

Main activities include:

• Developing research objectives, projects and funding proposals and managing individual or collaborative projects applying machine learning / big data approaches to any area of chemistry, leading to the production of original outputs
• Reaching out to collaborators, attending conferences and engaging in knowledge exchange 
• Designing, developing and delivering innovative teaching and assessment activities across a wide range of chemistry modules both core and optional; taking responsibility for the quality of provision, providing feedback and critically reviewing activities
• Undertaking academic supervision of students and acting as a research supervisor
• Undertaking a range of departmental administrative and managerial responsibilities

Skills, Experience & Qualifications required:

• PhD in Chemistry or closely related subject and appropriate academic teaching qualification or willingness to complete this
• Specialist knowledge of applying machine learning / artificial intelligence / big data approaches to chemical problems  
• Ability to develop research objectives, projects and proposals and contribute to - Knowledge, ability, experience and commitment to designing and delivering teaching and learning at undergraduate level chemistry to enthuse and engage students
• Commitment to and understanding of Equality and Diversity Issues

Further Information

https://jobs.york.ac.uk/vacancy/lecturer-in-digital-chemistry-551036.html

Contact Details

Please contact either jackie.mosely@york.ac.uk or caroline.dessent@york.ac.uk for an informal conversation about the job