PhD Position Aarhus University Denmark

ERC Funded PhD Position in Quantum Chemical Modelling of Atmospheric Nanoparticles at Aarhus University, Denmark 2022


ERC Funded PhD in Quantum Chemical Modelling of Atmospheric Nanoparticles is available for master’s degree candidates in Chemistry, Physics, Nanoscience or related fields at Graduate School of Natural Sciences, Aarhus University, Denmark 2022

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General Info

Deadline to Apply: Expired
Position: PhD
Fellowship/Scholarship: Natural Sciences - Aarhus University GSNS PhD Scholarships
No. of Positions: 1
Eligibility (Gender):
Eligibile Nationals: All Nationals
Research Field: , ,
Joining Date: ASAP
Contract Period: Subject to Norms

Graduate School of Natural Sciences

Aarhus University (AU), Denmark

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Qualification Details

Applicants must have or soon complete a master’s degree, within Chemistry, Physics, Nanoscience or related fields.

The successful candidate should have a strong interest in applying quantum chemical calculations for studying molecular systems. The candidate should have previous experience with electronic structure theory methods such as density functional theory and coupled cluster and have basic knowledge of computer programming (e.g., Python, Matlab). Explicit knowledge about atmospheric chemistry is not required.

The ability to work independently and having good communication skills are expected. The candidate will have the opportunity of spending time in an international research group and attending international conferences.

IMPORTANT: If you want to be considered for the position, contact Jonas elm at [email protected], prior to submitting an application.

Responsibilities/Job Description

Applications are invited for a PhD fellowship/scholarship at Graduate School of Natural Sciences, Aarhus University, Denmark, within the Chemistry programme. The position is available from November 2022 or later.

Title: ERC Funded PhD in Quantum Chemical Modelling of Atmospheric Nanoparticles

Research area and project description: Aerosol particles are ubiquitous constituents in the ambient atmosphere. Aerosol particles influence the global climate, by scattering sunlight away from Earth’s surface and acting as seeds for cloud droplet formation. Combined, these effects lead to an overall cooling of the Earth, directly counteracting the warming effect of greenhouse gases.

According to the IPCC, aerosol particles pose the largest uncertainty in global climate forecast. This uncertainty is influenced by the lack of understanding of the formation and early growth behaviour of small (< 3 nm) particles. The largest source of aerosol particles is from nucleation of vapours in the air leading to a burst of freshly nucleated particles (FNPs) of 1-2 nm in size. However, the structure, composition and basic fundamental properties of these FNPs remain unknown and cannot be studied using currently available experimental techniques.

Using quantum chemical (QC) methods, this project will for the first time elucidate the chemical composition and properties of FNPs. The project involves quantum chemical calculations to understand the stability of FNPs depending on their chemical composition. Machine Learning (ML) techniques will be applied to boost the QC exploration of chemical space. The project will apply and develop novel fragmentation schemes to obtain accurate binding energies of large FNPs beyond what is currently achievable. Depending on the interest of the candidate the division between different elements in the project (QC calculations, ML, coding, ect) can be tailored accordingly.

Assistant Professor Jonas Elm will handle day-to-day supervision in all scientific and other matters. Professor Ove Christiansen will act as the official PhD supervisor. The project is funded via a prestigious European Research Council (ERC) starting grant.

For technical reasons, you must upload a project description. When - as here - you apply for a specific project, please simply copy the project description above, and upload it as a PDF in the application. If you wish to, you can indicate an URL where further information can be found.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

For information about application requirements and mandatory attachments, please see the Application guide. Please read the Application guide thoroughly before applying.

When ready to apply, go to (Note, the online application system opens 1 June 2022)

  1. Choose August 2022 Call with deadline 1 August 2022 at 23:59 CEST.
  2. You will be directed to the call and must choose the programme “Chemistry”.
  3. Under the headline Study: In the dropdown menu, please choose: “ERC Funded PhD in Quantum Chemical Modelling of Atmospheric Nanoparticles (ERCFPQ)”

Please note:

  • The programme committee may request further information or invite the applicant to attend an interview.
  • The project will only be initiated if the graduate school/the faculty grants funding.

About the Natural Sciences - Aarhus University GSNS PhD Scholarships

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About the Employer: Aarhus University (AU), Denmark

Note or Other details

The place of employment is Aarhus University, and the place of work is Department of Chemistry, Langelandsgade 140, DK-8000 Aarhus C, Denmark.

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Contact details

Applicants seeking further information for this project are invited to contact:

Assistant Professor Jonas Elm, e-mail: [email protected]

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