Phd Scholarship in Developing Solid Electrolytes

2 weeks ago


Burwood, Victoria, Australia Deakin University Full time

[PhD project description]

  • Project title_: Machine Learningassisted Development of Highly Functional Organic Ionic Plastic Crystals for Solidstate Batteries
  • Background_: Safe, longlasting, and highperformance rechargeable batteries are required to meet the ever
  • Project details_: The project has three stages: (1) Dataset collection which involves both experimental and simulation data, (2) Training of ML models and making predictions and (3) Experimental validation and further computational investigation. Special attention is paid to the development of OIPCs, which are emerging soft solid electrolytes for SSBs, but they have yet to be studied strategically using ML. In Stage
1, the research data will be collected from the previous publications (>50 papers) describing the physicochemical properties of OIPCs. For some results not reported but could be obtained computationally, additional computation will be conducted to fill gaps.

In Stage 2, using this dataset, the correlation among several properties, such as OIPC crystalline phase structures, ionic conductivity, electrochemical potential window, thermal behaviour, and ionic interactions will be analysed via ML methods.

The trained model then will be used to predict the properties of a few pre-known systems for validation. Then the validated
ML methods will be used to predict new OIPCs with potentially promising properties.

In Stage 3, the synthetic routes of selected new OIPCs will be designed and prepared with the help of the synthesis team.

The predicted properties of these OIPCs will be confirmed experimentally. Furthermore, the most promising
OIPC will be investigated computationally to give further in-depth understanding at an atomistic level.

The project will be supervised by the IFM's leading researchers in the battery field, Dr Hiroyuki Ueda,
Dr Fangfang Chen, Prof. Jenny Pringle, and Prof. Patrick Howlett. The project will start in early
- or mid

  • 2024 and last for 3 years.
  • You must be able to demonstrate_:
  • Master's degree or a first honours degree (H1 actual, ideally Grade Point Average, GPA of ≥85%) in science, material science or engineering, material physics, chemistry, or related fields (which must have been awarded by the starting date of the PhD)
  • The ability of data analysis, scientific writing, and presentations. Be able to use common software ( _e.g._,
Microsoft Word, Excel, and PowerPoint).

  • Good programming skills ( _e.g._, Python)
  • Excellent written and spoken communication skills in English. If your first language is not English, or if your degree qualifications were not undertaken in English, evidence of English proficiency such as a copy of the result of an English test ( _e.g._, IELTS, TOEFL, etc.) is required. For details, please see
  • Willingness to learn new skills and good at handling pressure.
  • Good team spirit (willingness to cooperate).
  • Desirable special skills_:
  • Machine learning knowledge and experiences
  • Modelling experience ( _e.g._, Molecular dynamics simulations)
  • Prior research experience, especially in science, material science or engineering, material physics, chemistry, or related fields, with a sound record of peerreviewed publications
  • Synthetic laboratory experience including excellent familiarity with safe chemical laboratory practices

[Scholarship details]

  • 3 years for a stipend and 4 years for the tuition fees offset
  • A stipend of $33,500 per annum tax exempt (effective from 28/05/2023)
  • For international students only: Single Overseas Student Health Cover policy for the duration of the student visa.
- scholarship/rtp-and-duprs

[How to apply]
- us/) and complete the Expression of Interest (EOI) form (click "Expression of Interest form" to go to a submission page).

[Important dates]

[Inquiry]

Salary:
$33,500.00 per year

Application Question(s):

  • What was the overall grade for your highest/most recent qualification (expressed as a percentage)?
  • What is your level of proficiency in English? Please choose either "Native or bilingual", "Professional", "Conversational", or "None". Please provide a recent result of an English test (e.g., IELTS, TOEFL IBT, PTE) if you choose any options other than "Native or bilingual".

An example answer:
Professional (

IELTS:
Listening 8.0, Reading 7.0, Writing 7.5, Speaking 7.5, Overall Band Score 7.5)

  • Do you have a willingness to learn new skills?
  • Are you good at handling pressure?
  • Do you have a good team spirit (willingness to cooperate)?
  • Are you comfortable working in an onsite setting?
  • Are you familiar with safe chemical laboratory practices?

Education:

  • Bachelor Degree (Hons) (required)

Experience:

  • Microsoft 365 (e.g.
, Microsoft Word, Excel, and PowerPoint): 3 years (required)

  • Programming (e.g.
, Python): 1 year (required)

  • Machine learning: 1 year (preferred)
  • Modelling experience (e.g.
, Molecular dynamics simulations): 1 year (preferred)

  • Synthetic laboratory: 1 year (prefe

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